6G Wireless Networks

This page provides key resources on the research results developed by our group with respect to the 6G wireless communication networks.

Journal Publications:

• 1. S. Hassan, D. H. Kim, Y. K. Tun, N. H. Tran, W. Saad, and C. S. Hong, "Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks", IEEE Internet of Things Journal, to appear, 2022.

  2. G. Lee, W. Saad, M. Bennis, C. Kim, and M. Jung, "An Online Framework for Ephemeral Edge Computing in the Internet of Things", IEEE Transactions on Wireless Communications, to appear, 2022.

  3. T. Zeng, O. Semiari, M. Chen, W. Saad, and M. Bennis, "Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles", IEEE Transactions on Wireless Communications, to appear, 2022.

  4. Y. Wang, M. Chen, T. Luo, W. Saad, D. Niyato, H. V. Poor, and S. Cui, "Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach", IEEE Journal on Selected Areas for Communications (JSAC), Special Issue on Machine Learning for Communications and Networks, to appear, 2022.

  5. L. U. Khan, Z. Han, W. Saad, E. Hossain, M. Guizani, and C. S. Hong, "Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities", IEEE Communications Surveys & Tutorials, to appear, 2022.

  6. Y. K. Tun, T. N. Dang, K. Kim, M. Anselwi, W. Saad, and C. S. Hong, "Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing", IEEE Internet of Things Journal, to appear, 2022.

  7. Md. Noor-A-Rahim, Z. Liu, H. Lee, M. O. Khyam, J. He, D. Pesch, K. Moessner, W. Saad, H. V. Poor, "6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities", Proceedings of IEEE, vol. 110, no. 6, pp. 712 - 734, June 2022.

  8. M. N. H. Nguyen, S. R. Pandey, T. N. Dang, E.-N. Huh, C. S. Hong, M. H. Tran, and W. Saad, "Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems", IEEE Transactions on Neural Networks and Learning Systems, to appear, 2022.

  9. Z. Yang, M. Chen, W. Saad, W. Xu, and M. Shikh-Bahaei, "Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication", IEEE Transactions on Mobile Computing, July, 2022.

  10. C. Chaccour, M. Naderi Soorki, W. Saad, M. Bennis, and P. Popovski, "Can Terahertz Provide High-Rate Reliable Low Latency Communications for Wireless VR?", IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9712 - 9729, June 2022.

  11. C. Chaccour, M. Naderi Soorki, W. Saad, M. Bennis, P. Popovski, and M. Debbah, "Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing", IEEE Communications Surveys & Tutorials, vol. 24, no. 2, pp. 967 - 993, Second Quarter 2022.

  12. M. Kim, S. Lee, C. Park, J. Lee, and W. Saad, "Ensuring Data Freshness for Blockchain-enabled Monitoring Networks", IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9775 - 9788, June 2022.

  13. S. Wang, M Chen, Z. Yang, C. Yin, W. Saad, S. Cui, and H. V. Poor, "Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems", IEEE Journal on Selected Topics in Signal Processing (JSTSP), Special Issue on Distributed Machine Learning for Wireless Communication, vol. 16, no. 3, pp. 501 - 515, April 2022.

  14. Q. Zhang, A. Ferdowsi, W. Saad, and M. Bennis, "Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks", IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1438 - 1452, March 2022.

  15. L. Bai, M. Chen, C. Feng, C. Guo, W. Saad, and S. Cui, "Computer Vision-based Localization with Visible Light Communications", IEEE Transactions on Wireless Communications, March, 2022.

  16. Q. Zhang, W. Saad, and M. Bennis, "Millimeter Wave Communications with an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning", IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1836 - 1850, March 2022.

  17. M. Abdel-Aziz, C. Perfecto, S. Samarakoon, M. Bennis, and W. Saad, "Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning", IEEE Trans. on Communications, vol. 70, no. 2, pp. 891 - 903, February 2022.

  18. L. U. Khan, W. Saad, Z. Han, and C. S. Hong, "Dispersed Federated Learning: Vision, Taxonomy, and Future Directions", IEEE Wireless Communications Magazine, vol. 28, no. 5, pp. 192 - 198, October 2021.

  19. L. Khan, W. Saad, D. Niyato, Z. Han, and C. S. Hong, "Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions", IEEE Communications Magazine, vol. 60, no. 1, pp. 74 - 80, January 2022.

  20. B. Zhou and W. Saad, "Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels", IEEE Transactions on Wireless Communications, November, 2021.

  21. A. Ferdowsi, A. El-Dosouky, and W. Saad, "Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems", IEEE Internet of Things Journal, November, 2021.

  22. M. Chen, D. Gunduz, K. Huang, W. Saad, M. Bennis, A. V. Feljan, and H. V. Poor, "Distributed Learning in Wireless Networks: Recent Progress and Future Challenges", IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Distributed Learning over Wireless Edge Networks, October, 2021.

  23. H. Zarini, A. Khalili, H. Tabassum, M. Rasti, and W. Saad, "AlexNet Classifier and Support Vector Regressor for Scheduling and Power Control in Multimedia Heterogeneous Networks", IEEE Transactions on Mobile Computing, October, 2021.

  24. H. Tong, Z. Yang, S. Wang, Y. Hu, O. Semiari, W. Saad, and C. Yin, "Federated Learning for Audio Semantic Communication", Frontiers in Communications and Networks, Data Science for Communications, September 2021.

  25. M. Naderisoorki, W. Saad, M. Bennis, and C. S. Hong, "Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces", IEEE Transactions on Communications, November, 2021.

  26. Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, "Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks", IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on UAV Communications in 5G and Beyond Networks, October, 2021.

  27. R. Moioli, P. H. J. Nardelli, M. T. Barros, W. Saad, A. Hekmatmanesh, P. Gória, A. S. de Sena, M. Dzaferagic, H. Siljak, W. van Leekwijck, D. Carrillo, and S. Latré, "Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications", IEEE Communications Surveys & Tutorials, June, 2021.

  28. L. U. Khan, W. Saad, Z. Han, E. Hossain, and C. S. Hong, "Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges", IEEE Communications Surveys & Tutorials, June, 2021.

  29. S. Wang, M. Chen, C. Yin, W. Saad, C. S. Hong, S. Cui, and H. V. Poor, "Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks", IEEE Internet of Things Journal, May, 2021.

  30. A. Ferdowsi, M. A. Abd-Elmagid, W. Saad, H. S. Dhillon, "Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks", IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Age of Information in Real-time Systems and Networks, May, 2021.

  31. I. Donevski, N. Babu, J. J. Nielsen, P. Popovski, and W. Saad, "Federated Learning with a Drone Orchestrator: Path Planning for Minimized Staleness", IEEE Open Journal of the Communications Society, April, 2021.

  32. M. Jung, W. Saad, M. Debbah, and C. S. Hong, "On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation", IEEE Transactions on Wireless Communications, July, 2021.

  33. M. Jung, W. Saad, and G. Kong, "Performance Analysis of Active Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training", IEEE Transactions on Communications, May, 2021.

  34. A. Pourranjbar, G. Kaddoum, A. Ferdowsi, and W. Saad, "Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks", IEEE Transactions on Communications, June, 2021.

  35. A. Manzoor, K. Kim, S. R. Pandey, S. M. A. Kazmi, N. H. Tran, W. Saad, and C. S. Hong, "Ruin Theory for Energy-Efficient Resource Allocation in UAV-assisted Cellular Networks", IEEE Transactions on Communications, June, 2021.

  36. L. Xu, M. Chen, M. Chen, Z. Yang, C. Chaccour, W. Saad, and C. S. Hong, "Joint Location, Bandwidth and Power Optimization for THz-enabled UAV Communications", IEEE Communications Letters, June, 2021.

  37. S. Munir, N. H. Tran, W. Saad, and C. S. Hong, "Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems", IEEE Transactions on Network and Service Management, September, 2021.

  38. T. Park, B. Zhou, and W. Saad, "Centralized and Distributed Age of Information Minimization with non-linear Aging Functions in the Internet of Things", IEEE Internet of Things Journal, April, 2021.

  39. S. Samarakoon, M. Bennis, W. Saad, and M. Debbah, "Predictive Ultra-Reliable Communication: A Survival Analysis Perspective", IEEE Communications Letters, April, 2021.

  40. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Convergence Time Optimization for Federated Learning over Wireless Networks", IEEE Transactions on Wireless Communications, April, 2021.

  41. M. N. H. Nguyen, S. R. Pandey, K. Thar, N. H. Tran, M. Chen, W. Saad, and C. S. Hong, "Distributed and Democratized Learning: Philosophy and Research Challenges", IEEE Computational Intelligence Magazine, vol. 16, no. 1, pp. 49 - 62, February 2021.

  42. A. T. Z. Kasgari, W. Saad, M. Mozaffari, and H. V. Poor, "Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication", IEEE Transactions on Communications, vol. 69, no. 2, pp. 884 - 899, February 2021.

  43. Z. Yang, M. Chen, W. Saad, C. S. Hong, and M. Shikh-Bahaei, "Energy Efficient Federated Learning Over Wireless Communication Networks", IEEE Transactions on Wireless Communications, March, 2021.

  44. Z. Yang, M. Chen, , W. Saad, W. Xu, M. Shikh-Bahaei, H. V. Poor, and S. Cui, "Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces", IEEE Transactions on Wireless Communications, January, 2021.

  45. Z. Zhang, M. Zeng, M. Chen, D. Liu, W. Saad, S. Cui, and H. V. Poor, "Joint User Grouping, Version Selection and Bandwidth Allocation for Live Video Multicasting ", IEEE Transactions on Communications, January, 2021.

  46. Q. Zhang, W. Saad, M. Bennis, X. Lu, M. Debbah, and W. Zuo, "Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory", IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 637 - 652, January 2021.

  47. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Wireless Communications for Collaborative Federated Learning", IEEE Communications Magazine, Special Issue on Communication Technologies for Efficient Edge Learning, vol. 58, no. 2, pp. 48 - 54, December 2020.

  48. Y. Xiao, G. Shi, Y. Li, W. Saad, and H. V. Poor, "Towards Self-learning Edge Intelligence in 6G", IEEE Communications Magazine, Special Issue on Communication Technologies for Efficient Edge Learning, vol. 58, no. 12, pp. 34 - 40, December 2020.

  49. L. U. Khan, S. R. Pandey, N. H. Tran, W. Saad, Z. Han, M. N. H. Nguyen, and C. S. Hong, "Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism", IEEE Communications Magazine, Data Science/Artificial Intelligence Series, vol. 58, no. 10, pp. 88 - 93, October 2020.

  50. A. S. de Sena, D. Carrillo, F. Fang, P. H. K. Nardelli, D. B. da Costa, U. S. Dias, Z. Ding, C. B. Papdias, and W. Saad, "What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?", IEEE Wireless Communications Magazine, vol. 27, no. 5, pp. 24 - 31, October 2020.

  51. Y. K. Tun, N. H. Tran, W. Saad, S. R. Pandey, and C. S. Hong, "Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing", IEEE Communications Letters, vol. 25, no. 1, pp. 249 - 253, January 2021.

  52. M. Chen, Z. Yang, W. Saad, C. Yin, H. V. Poor, and S. Cui, "A Joint Learning and Communications Framework for Federated Learning over Wireless Networks", IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 269 - 283, January 2021.

  53. W. Saad, M. Bennis, and M. Chen, "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems", IEEE Network, vol. 34, no. 3, pp. 134 - 142, May 2020.

  54. G. Lee, J. Park, W. Saad, and M. Bennis, "Performance Analysis of Blockchain Systems with Wireless Mobile Miners", IEEE Networking Letters, vol. 2, no. 3, pp. 111 - 115, September 2020.

  55. Y. Wang, M. Chen, Z. Yang, T. Luo. and W. Saad, "Deep Learning for Optimal Deployment of UAVs with Visible Light Communications", IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7049 - 7063, November 2020.

  56. F. Hu, Y. Deng, W. Saad, M. Bennis, and H. Avghami, "Cellular-Connected Wireless Virtual Reality: Requirements, Challenges, and Solutions", IEEE Communications Magazine, vol. 58, no. 5, pp. 105 - 111, May 2020.

  57. Y. Hu, M. Chen, and W. Saad, "Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach", IEEE Transactions on Wireless Communications, vol. 9, no. 6, pp. 3908 - 3923, June 2020.

  58. S. Ali, A. Ferdowsi, W. Saad, N. Rajatheva, and J. Haapola, "Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications", IEEE Transactions on Communications, vol. 68, no. 8, pp. 5072 - 5086, August 2020.

  59. J. Kibilda, A. MacKenzie, M. Abdel-Rahman, S. K. Yoo, G. Galati, S. Cotton, N. Marchetti, W. Saad, W. Scanlon, A. Garcia-Rodriguez, D. Lopez-Perez, H. Claussen, and L. DaSilva, "Indoor Millimeter-Wave Systems: Design and Performance Evaluation", Proceedings of the IEEE, vol. 108, no. 6, pp. 923 - 944, May 2020.

  60. X. Chen, A. T. Z. Kasgari, and W. Saad, "Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos", IEEE Networking Letters, vol. 2, no. 2, pp. 81 - 84, June 2020.

  61. M. Jung, W. Saad, Y. Jang, G. Kong, and S. Choi, "Performance Analysis of Large Intelligent Surfaces (LISs): Asymptotic Data Rate and Channel Hardening Effects", IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 2052 - 2065, March 2020.

  62. B. Zhou and W. Saad, "Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes", IEEE Transactions on Wireless Communications, vol. 19, no. 3, pp. 1933 - 1947, March 2020.

  63. M. Abdel-Aziz, C.-F. Liu, S. Samarakoon, M. Bennis, and W. Saad, "Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks", IEEE Transactions on Communications, vol. 68, no. 3, pp. 1911 - 1924, March 2020.

  64. M. T. Dabiri , H. Safi, S. Parsaeefard , and W. Saad, "Analytical Channel Models for Millimeter Wave UAV Networks Under Hovering Fluctuations", IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2868 - 2883, April 2020.

  65. M. Abdel-Aziz, S. Samarakoon, M. Bennis, and W. Saad, "Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach", IEEE Communications Letters, vol. 24, no. 2, pp. 367-370, Feb. 2020.

  66. C. Pham , N. H. Tran, S. Ren , W. Saad, C.-S. Hong,"Traffic-aware and Energy-efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach", IEEE Transactions on Service Computing, vol. 13, no. 1, pp. 172-185, Jan.-Feb. 2020.

  67. S. Samarakoon, M. Bennis, W. Saad, and M. Debbah, "Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications", IEEE Transactions on Communications, vol. 68, no. 2, pp. 1146-1159, Feb. 2020.

  68. S. Ali, H. Asgharimoghaddam, N. Rajatheva, W. Saad, and J. Haapola, "Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems", IEEE Transactions on Communications, vol. 68, no. 2, pp. 1284-1296, Feb. 2020.

  69. S. Rostami, W. Saad, and C. S. Hong, "Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding", IEEE Communications Letters, vol. 24, no. 1, pp. 117-121, Jan. 2020.

  70. M. Chen, O. Semiari, W. Saad, X. Liu, and C. Yin, "Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks", IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 177-191, Jan. 2020.

  71. M. Jung, W. Saad, Y. Jang, G. Kong, and S. Choi, "Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability", IEEE Wireless Communications Letters, vol. 8, no. 6, pp. 1662-1666, Dec. 2019.

  72. B. Zhou and W. Saad, "Joint Status Sampling and Updating for Minimizing Age of Information in the Internet of Things", IEEE Transactions on Communications, vol. 67, no. 11, pp. 7468-7482, Nov. 2019.

  73. A. T. Z. Kasgari, W. Saad, and M. Debbah, "Human-in-the-Loop Wireless Communications: Machine Learning and Brain-Aware Resource Management", IEEE Transactions on Communications, vol. 67, no. 11, pp. 7727-7743, Nov. 2019.

  74. T. Zeng, O. Semiari, W. Saad, and M. Bennis, "Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems", IEEE Transactions on Communications, vol. 67, no. 11, pp. 7907-7922, Nov. 2019.

  75. A. Ferdowsi, S. Ali, W. Saad, and N. B. Mandayam, "Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning", IEEE Transactions on Communications, vol. 67, no. 10, pp. 7228 - 7244, October 2019.

  76. M. Naderi Soorki, W. Saad, and M. Bennis, "Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users' Orientation", IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5037-5049, Nov. 2019.

  77. M. Chen, U. Challita, W. Saad, C. Yin, and M. Debbah, "Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial", IEEE Communications Surveys and Tutorials, vol. 21, no. 4, pp. 3039-3071, Fourthquarter 2019 (longer, pre-print version found here: "https://arxiv.org/pdf/1710.02913v1.pdf").

  78. N. Abuzainab, W. Saad, and A. B. MacKenzie, "Distributed Uplink Power Control in an Ultra-Dense Millimeter Wave Network: A Mean-field Game Approach", IEEE Wireless Communications Letters, vol. 8, no. 5, pp. 1328-1332, Oct. 2019.

  79. M. Chen, W. Saad, and C. Yin, "Echo-Liquid State Deep Learning for 360∘ Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs", IEEE Transactions on Communications, vol. 67, no. 9, pp. 6386-6400, Sept. 2019.

  80. N. Sawyer, M. Naderi Soorki, W. Saad, D. Smith, and N. Ding, "Evolutionary Games for Correlation-Aware Clustering in Massive Machine-to-Machine Networks", IEEE Transactions on Communications, vol. 67, no. 9, pp. 6527-6543, Sept. 2019.

  81. T. Park and W. Saad, "Distributed Learning for Low Latency Machine Type Communication in a Massive Internet of Things", IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5562-5576, June 2019.

  82. M. Chen, W. Saad, C. Yin, and M. Debbah, "Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach", IEEE Transactions on Communications, vol. 67, no. 6, pp. 4267-4280, June 2019.

  83. U. Challita, W. Saad, and C. Bettstetter, "Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach", IEEE Transactions on Wireless Communications, vol. 18, no.4, pp. 2125-2140, April 2019.

  84. G. Lee, W. Saad, and M. Bennis, "An Online Optimization Framework for Distributed Fog Network Formation with Minimal Latency", IEEE Transactions on Wireless Communications, vol. 18, no. 4, pp. 2244-2258, April 2019.

  85. O. Semiari, W. Saad, M. Bennis, and M. Debbah, "Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency", IEEE Wireless Communications Magazine, vol. 26, no. 2, pp. 109-115, April 2019.

  86. M. Chen, W. Saad, and C. Yin, "Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks", IEEE Transactions on Wireless Communications, vol. 18, no. 3, pp. 1504-1517, March 2019.

  87. A. Ferdowsi, U. Challita, and W. Saad, "Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems", IEEE Vehicular Technology Magazine, Special Issue on Mobile Edge Computing for Vehicular Networks, vol. 14, no. 1, pp. 62 - 70, March 2019.

  88. A. Ndikumana, N. H. Tran, T. M. Ho, Z. Han, W. Saad, D. Niyato, C. S. Hong, "Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing", IEEE Transactions on Mobile Computing, March, 2019.

  89. A. Ferdowsi and W. Saad, "Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems", IEEE Transactions on Communications, vol. 67, no. 2, pp. 1371 - 1387, February 2019.

  90. U. Challita, A. Ferdowsi, M. Chen, and W. Saad, "Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs", IEEE Wireless Communications Magazine, Special Issue on Integrating UAVs into 5G and Beyond, vol. 66, no. 1, pp. 28-35, February 2019.

  91. M. Mozaffari, A. T. Z. Kasgari, W. Saad, M. Bennis, and M. Debbah, "Beyond 5G with UAVs: Foundations of a 3D Wireless Cellular Network", IEEE Transactions on Wireless Communications, vol. 18, no. 1, pp. 357–372, January 2019.

  92. N. Abuzainab and W. Saad, "Multiclass Mean-Field Game for Thwarting Misinformation Spread in the Internet of Battlefield Things (IoBT)", IEEE Transactions on Communications, vol. 66, no. 12, pp. 6643 - 6658, December 2018.

  93. M. Chen, W. Saad, and C. Yin, "Virtual Reality over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management", IEEE Transactions on Communications, vol. 66, no. 11, pp. 5621 - 5635, November 2018.

  94. S. Ali, W. Saad, and N. Rajatheva, "A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction", IEEE Communications Letters, vol. 22, no. 11, pp. 2378 - 2381, November 2018.

  95. M. I. Ashraf, C.-F. Liu, M. Bennis, W. Saad, and C. S. Hong, "Dynamic Resource Allocation for Optimized Latency and Reliability in Vehicular Networks", IEEE Access, vol. 6, pp. 63843 - 63858, October 2018.

  96. U. Challita, L. Dong, and W. Saad, "Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective", IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4674 - 4689, July 2018.

  97. O. Semiari, W. Saad, M. Bennis, and B. Maham, "Caching Meets Millimeter Wave Communications for Enhanced Mobility Management in 5G Networks", IEEE Transactions on Wireless Communications, vol. 17, no. 2, pp. 779 - 793, February 2018.

  98. N. Abuzainab, W. Saad, C. S. Hong, and H. V. Poor, "Cognitive Hierarchy Theory for Distributed Resource Allocation in the Internet of Things", IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp. 7687 - 7702, December 2017.

  99. M. El-Bamby, M. Bennis, W. Saad, M. Debbah, and M. Latva-aho, "Resource Optimization and Power Allocation in In-band Full Duplex (IBFD)-Enabled Non-Orthogonal Multiple Access Networks", IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Non-Orthogonal Multiple Access for 5G Systems, vol. 35, no. 12, pp. 2860 - 2873, December 2017.

  100. N. Abuzainab, W. Saad, C. S. Hong, and H. V. Poor, "Cognitive Hierarchy Theory for Distributed Resource Allocation in the Internet of Things", IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp. 7687 - 7702, December 2017.

  101. M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications", IEEE Transactions on Wireless Communications, vol. 16, no. 11, pp. 7574 - 7589, November 2017.

  102. S. M. A. Kazmi, N. H. Tran, W. Saad, Z. Han, T. M. Ho, T. Z. Oo, and C. S. Hong, "Mode Selection and Resource Allocation in Device-to-Device Communications: A Matching Game Approach", IEEE Transactions on Mobile Computing, vol. 16, no. 11, pp. 3126 - 3141, November 2017.

  103. A. Hajijamali Arani, A. Mehbodniya, M. J. Omidi, F. Adachi, W. Saad, and I. Guvenc, "Distributed Learning for Energy-Efficient Resource Management in Self-Organizing Heterogeneous Networks", IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 9287 - 9303, October 2017.

  104. T. LeAnnh, N. H. Tran, W. Saad, L. B. Le, D. Niyato, T. M. Ho, and C.-S. Hong, "Matching Theory for Distributed User Association and Resource Allocation in Cognitive Femtocell Network", IEEE Transactions on Vehicular Technology, vol. 66, no. 9, pp. 8413 - 8428, September 2017.

  105. T. Z. Oo, N. H. Tran, W. Saad, D. Niyato, Z. Han, and C. S. Hong, "Offloading in HetNets: A Coordination of Interference Mitigation, User Association, and Resource Allocation", IEEE Transactions on Mobile Computing, vol. 16, no. 8, pp. 2276 - 2291, August 2017.

  106. O. Semiari, W. Saad, M. Bennis, and Z. Dawy, "Inter-Operator Resource Management for Millimeter Wave, Multi-Hop Backhaul Networks", IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5258 - 5272, August 2017.

  107. O. Semiari, W. Saad, and M. Bennis, "Joint Millimeter Wave and Microwave Resources Allocation in Cellular Networks with Dual-Mode Base Stations", IEEE Transactions on Wireless Communications, vol. 16, no. 7, pp. 4802 - 4816, July 2017.

  108. K. Vasudeva, S. Dikmese, I. Guvenc, A. Mehbodniya, W. Saad, and F. Adachi, "Fuzzy-Based Game Theoretic Mobility Management for Energy Efficient Operation in HetNets", IEEE Access, March, 2017.

  109. T. Park, N. Abuzainab, and W. Saad, "Learning How to Communicate in the Internet of Things: Finite Resources and Heterogeneity", IEEE Access, Special Issue on Optimization for Emerging Wireless Networks: IoT, 5G and Smart Grid Communication Networks, vol. 4, November 2016.

  110. A. Kazmi, N. H. Tran, T. M. Ho, W. Saad, L. B. Le, and C. S. Hong, "Optimized Resource Management in Heterogeneous Wireless Networks," IEEE Communications Letters, vol. 20, no. 7, pp. 1397-1400, July 2016.

  111. S. Samarakoon, M. Bennis, W. Saad, M. Debbah, and M. Latva-aho, "Ultra Dense Small Cell Networks: Turning Density into Energy Efficiency," IEEE Journal on Selected Areas in Communications (JSAC), Special issue on Green Networks, vol. 34, no. 5, pp. 1267 - 1280, May 2016.

  112. D. Li, W. Saad, and C. S. Hong, "Decentralized Renewable Energy Pricing and Allocation for Millimeter Wave Cellular Backhaul," IEEE Journal on Selected Areas in Communications (JSAC), Special issue on Green Networks, vol. 34, no. 5, pp. 1140-1159, May 2016.

  113. D. Li, W. Saad, I. Guvenc, A. Mehbodniya, and F. Adachi, "Decentralized Energy Allocation for Wireless Networks with Renewable Energy Powered Base Stations," IEEE Transactions on Communications, vol. 63, no. 6, pp. 2126-2142, June 2015.

  114. Y. Gu, W. Saad, M. Bennis, M. Debbah, and Z. Han, "Matching Theory for Future Wireless Networks: Fundamentals and Applications," IEEE Communications Magazine, Special Issue on Emerging Applications, Services, and Engineering for Cellular Cognitive Systems, vol. 53, no. 15, pp. 52 - 59, May 2015.

Conferences Publications:

1. C. Thomas and W. Saad, "Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI-Enabled Network Symposium, Rio de Janeiro, Brazli, December 2022.

2. C. Kim, M. Jung, and W. Saad, "Achievable Rate of Multiuser Scheduling in RIS-based Massive MIMO Systems", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communications Theory Symposium, Rio de Janeiro, Brazil, December 2022.

3. N. Yang, S. Wang, M. Chen, C. G. Brinton, C. Yin, W. Saad, and S. Cui, "Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Rio de Janeiro, Brazil, December 2022.

4. Y. Oh, Y.-S. Jeon, M. Chen, and W. Saad, "Vector Quantized Compressed Sensing for Communication-Efficient Federated Learning", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Workshop on Wireless Communications for Distributed Intelligence, Rio de Janeiro, Brazil, December 2022.

5. O. Hashash, C. Chaccour, and W. Saad, "Edge Continual Learning for Dynamic Digital Twins over Wireless Networks", in Proc. 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications, Special Session on Intelligence and Processing at the Edge for Next Generation Networks, Oulu, Finland, June 2022.

6. J. Jalali, A. Khalili, A. Rezaei, J. Famaey, and W. Saad, "Power-efficient Antenna Switching and Beamforming Design for Multi-User SWIPT with Non-Linear Energy Harvesting", in Proc. IEEE 20th Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2023.

7. M. Chehimi and W. Saad, "Quantum Federated Learning with Quantum Data", in Proc. of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Singapore, May 2022.

8. M. Kim, W. Saad, M. Mozaffari, and M. Debbah, "On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks", in Proc. of the IEEE International Conference on Communications (ICC), Green Communication Systems and Networks Symposium, Seoul, South Korea, May 2022. Best paper award.

9. M. Karimzadeh, W. Saad, and M. Debbah, "Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Seoul, South Korea, May 2022.

10. C. Chaccour, W. Saad, O. Semiari, M. Bennis, and P. Popovski, "Joint Sensing and Communication for Situational Awareness in Wireless THz Systems", in Proc. of the IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Seoul, South Korea, May 2022.

11. F. Lotfi, O. Semiari, and W. Saad, "Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks", in Proc. of the IEEE International Conference on Communications (ICC), IoT and Sensor Networks Symposium, Seoul, South Korea, May 2022.

12. S. S. Hassan, Y. M. Park, Y. K. Tun, W. Saad, Z. Han, and C. S. Hong, "3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Seoul, South Korea, May 2022.

13. A. Ferdowsi and W. Saad, "Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets", arXiv:2002.00306.

14. A. Pourranjbar, G. Kaddoum, and W. Saad, "Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach", in Proc. of the 55th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2021.

15. Q. Zhang and W. Saad, "Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), IoT and Sensor Networks Symposium, Madrid, Spain, December 2021.

16. Y. Wang, M. Chen, W. Saad, T. Luo, S. Cui, and H. V. Poor, "Performance Optimization for Semantic Communications: An Attention-based Learning Approach", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Signal Processing for Communications Symposium, Madrid, Spain, December 2021.

17. S. S. Hassan, Y. K. Tun, W. Saad, Z. Han, and C. S. Hong, "Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Madrid, Spain, December 2021.

18. H. Tong, Z. Yang, S. Wang, Y. Hu, W. Saad, and C. Yin, "Federated Learning based Audio Semantic Communication over Wireless Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication QoS, Reliability and Modeling Symposium, Madrid, Spain, December 2021.

19. T. Zeng, O. Semiari, M. Chen, W. Saad, and M. Bennis, "Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles", in Proc. of the 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 2021.

20. B. Zhou and W. Saad, "Age of Information in Ultra-Dense Computation-Intensive Internet of Things (IoT) Systems", invited, in Proc. of the 19th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Philadelphia, PA, USA, October 2021.

21. Q. Zhang, A. Ferdowsi, and W. Saad, "Distributed Generative Adversarial Networks for mmWave Channel Modeling in Wireless UAV Networks", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Montreal, Canada, June 2021.

22. T. Zeng, J. Guo, K. J. Kim, K. Parsons, P. Orlik, S. Di Cairano, and W. Saad, "Multi-Task Federated Learning for Traffic Prediction and its Application to Route Planning", in Proc. of the IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, July 2021.

23. M. Jung and W. Saad, "Meta-Learning for 6G Communication Networks with Reconfigurable Intelligent Surfaces", in Proc. of International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Ontario, Canada, June 2021.

24. Y. Wang, M. Chen, Z. Yang, W. Saad, T. Luo, H. V. Poor, and S. Cui, "Meta-Reinforcement Learning for Immersive Virtual Reality over THz/VLC Wireless Networks", Proc. of the IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Montreal, Canada, June 2021.

25. B. Zhou and W. Saad, "Age of Information in Ultra-Dense IoT Systems with Noisy Channels: With and Without Feedback", Proc. of the IEEE International Conference on Communications (ICC), Communication Theory Symposium, Montreal, Canada, June 2021.

26. Z. Gong, Q. Cui, C. Chaccour, B. Zhou, M. Chen, and W. Saad, "Lifelong Learning for Minimizing Age of Information in Internet of Things Networks", Proc. of the IEEE International Conference on Communications (ICC), SAC Machine Learning for Communications Track, Montreal, Canada, June 2021.

27. T. Park, W. Saad, and B. Zhou, "On the Minimization of Non-Linear Age of Information in the Internet of Things", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Montreal, Canada, June 2021.

28. Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, "Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI-Enabled Networks Symposium, Taipei, Taiwan, December 2020. Best Paper Award.

29. C. Chaccour and W. Saad, "On the Ruin of Age of Information in Augmented Reality over Wireless Terahertz (THz) Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication QoS, Reliability and Modeling Symposium, Taipei, Taiwan, December 2020.

30. B. Zhou and W. Saad, "On the Age of Information in Internet of Things Systems with Correlated Devices", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication Theory Symposium, Taipei, Taiwan, December 2020.

31. S. Wang, M. Chen, W. Saad, C. Yin, S. Cui, and H. V. Poor, "Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Green Communications Systems and Networks Symposium, Taipei, Taiwan, December 2020.

32. Q. Zhang, W. Saad, and M. Bennis, "Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Taipei, Taiwan, December 2020.

33. Z. Yang, M. Chen, W. Saad, W. Xu, M. Shikh-Bahaei, H. V. Poor and S. Cui, "Resource Allocation for Wireless Communications with Distributed Reconfigurable Intelligent Surfaces", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Taipei, Taiwan, December 2020.

34. Z. Yang, M. Chen, W. Saad, C. S. Hong, M. Shikh-Bahaei, H. V. Poor and S. Cui, "Delay Minimization for Federated Learning Over Wireless Communication Networks", in Proc. of International Conference on Machine Learning, Workshop on Federated Learning for User Privacy and Data Confidentiality (ICML-FL), Vienna, Austria, July 2020.

35. C. Chaccour, M. Naderi Soorki, W. Saad, M. Bennis, and P. Popovski, "Risk-Based Optimization of Virtual Reality over Terahertz Reconfigurable Intelligent Surfaces", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Dublin, Ireland, June 2020.

36. B. Zhou, W. Saad, M. Bennis, and P. Popovski, "Risk-Aware Optimization of Age of Information in the Internet of Things", in Proc. of the IEEE International Conference on Communications (ICC), Communication Theory Symposium, Dublin, Ireland, June 2020.

37. T. Zeng, O. Semiari, M. Mozaffari, M. Chen, W. Saad, and M. Bennis, "Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Dublin, Ireland, June 2020.

38. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Convergence Time Minimization of Federated Learning over Wireless Networks", in Proc. of the IEEE International Conference on Communications (ICC), Cognitive Radio and AI-Enabled Networks Symposium, Dublin, Ireland, June 2020. Best Paper Award.

39. M. Jung, W. Saad, M. Debbah, and C. S. Hong, "Asymptotic Optimality of Reconfigurable Intelligent Surfaces: Passive Beamforming and Achievable Rate", in Proc. of the IEEE International Conference on Communications (ICC), Wireless Communications Symposium, Dublin, Ireland, June 2020.

40. S. Wang, M. Chen, W. Saad, and C. Yin, "Federated Learning for Energy-Efficient Task Computing in Wireless Networks", in Proc. of the IEEE International Conference on Communications (ICC), Wireless Communications Symposium, Dublin, Ireland, June 2020.

41. G. Lee, M. Jung, A. T. Kasgari, W. Saad, and M. Bennis, "Deep Reinforcement Learning for Energy-Efficient Networking with Reconfigurable Intelligent Surfaces", in Proc. of the IEEE International Conference on Communications (ICC), Green Communication Systems and Networks Symposium, Dublin, Ireland, June 2020.

42. X. Zhang, Y. Xiao, Q. Li, and W. Saad, "Deep Reinforcement Learning for Fog Computing-based Vehicular System with Multi-operator Support", in Proc. of the IEEE International Conference on Communications (ICC), SAC Cloud & Fog Computing, Networking, and Storage Track, Dublin, Ireland, June 2020.

43. M. U. Chowdhury, W. Saad, and I. Guvenc, "Mobility Management for Cellular-Connected UAVs: A Learning-Based Approach", in Proc. of the IEEE International Conference on Communications (ICC), Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond, Dublin, Ireland, June 2020.

44. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Performance Optimization of Federated Learning over Mobile Wireless Networks", invited, in Proc. of 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, GA, USA, May 2020.

45. M. Chen, Z. Yang, W. Saad, C. Yin, H. V. Poor, and S. Cui, "Performance Optimization of Federated Learning over Wireless Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI-Enabled Networks Symposium, Waikoloa, HI, USA, December 2019.

46. M. Chen, O. Semiari, W. Saad, X. Liu, and C. Yin, "Federated Deep Learning for Immersive Virtual Reality over Wireless Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI-Enabled Networks Symposium, Waikoloa, HI, USA, December 2019.

47. A. Ferdowsi and W. Saad, "Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication & Information System Security Symposium, Waikoloa, HI, USA, December 2019.

48. Q. Zhang, W. Saad, and M. Bennis, "Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next-Generation Networking and Internet Symposium, Waikoloa, HI, USA, December 2019.

49. M. Jung, W. Saad, and G. Kong, "Spectral Efficiency in Large Intelligent Surfaces: Asymptotic Analysis Under Pilot Contamination", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication Theory Symposium, Waikoloa, HI, USA, December 2019.

50. M. Naderi Soorki, W. Saad, and M. Bennis, "Ultra-Reliable Millimeter-Wave Communications using an Artificial Intelligence-Powered Reflector", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Wireless Communications Symposium, Waikoloa, HI, USA, December 2019.

51. Z. Yang, M. Chen, W. Saad, W. Xu, and M. Shikh-Bahaei, "Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Wireless Communications Symposium, Waikoloa, HI, USA, December 2019.

52. M. A. Abd-Elmagid, A. Ferdowsi, H. S. Dhillon, and W. Saad, "Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Waikoloa, HI, USA, December 2019.

53. Y. Zhao, B. Zhou, W. Saad, and X. Luo, "Age of Information Analysis for Dynamic Spectrum Sharing", in Proc. of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Canada, November 2019.

54. C. Chaccour, R. Amer, B. Zhou, and W. Saad, "On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies", in Proc. of 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Mobility & Wireless Networks Track, Canary Islands, Spain, June 2019. Best Paper Award.

55. A. T. Z. Kasgari and W. Saad, "Model-Free Ultra Reliable Low Latency Communication (URLLC): a Deep Reinforcement Learning Framework", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Shanghai, China, May 2019.

56. B. Zhou and W. Saad, "Minimizing Age of Information in the Internet of Things with Non-uniform Status Packet Sizes", in Proc. of the IEEE International Conference on Communications (ICC), Communication Theory Symposium, Shanghai, China, May 2019.

57. M. Chen, W. Saad, and C. Yin, "Deep Learning for 360 Content Transmission in UAV-Enabled Virtual Reality", in Proc. of the IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Shanghai, China, May 2019.

58. M. Chen, W. Saad, and C. Yin, "Liquid State based Transfer Learning for 360 Image Transmission in Wireless VR Networks", in Proc. of the IEEE International Conference on Communications (ICC), Cognitive Radio and Networks Symposium, Shanghai, China, May 2019.

59. B. Zhou and W. Saad, "Optimal Sampling and Updating for Minimizing Age of Information in the Internet of Things", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communications Theory Symposium, Abu Dhabi, UAE, December 2018. This paper received the Best Paper Award at IEEE GLOBECOM 2018.

60. Q. Zhang, M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Green Communications Systems and Networks Symposium, Abu Dhabi, UAE, December 2018.

61. S. Samarakoon, M. Bennis, W. Saad, and M. Debbah, "Federated Learning for Ultra-Reliable Low-Latency V2V Communications", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications Symposium - Tactile Internet Track, Abu Dhabi, UAE, December 2018.

62. M. Abdel-Aziz, C.-F. Liu, S. Samarakoon, M. Bennis, and W. Saad, "Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Abu Dhabi, UAE, December 2018.

63. A. Ferdowsi, U. Challita, W. Saad, and N. B. Mandayam, "Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems", in Proc. 21st IEEE International Conference on Intelligent Transportation Systems, Maui, HI, USA, November 2018.

64. A. Taleb Zadeh Kasgari, B. Maham, H. Kebriaei, and W. Saad, "Dynamic Learning for Distributed Power Control in Underlaid Cognitive Radio Networks", in Proc. 14th International Wireless Communications & Mobile Computing Conference (IWCMC), Limasol, Cyprus, June 2018.

65. K. Hamidouche, A. Taleb Zadeh Kasgari, W. Saad, M. Bennis, and M. Debbah, "Collaborative Artificial Intelligence (AI) for User-Cell Association in Ultra-Dense Cellular Systems", in Proc. of the IEEE International Conference on Communications (ICC), Workshop on Promises and Challenges of Machine Learning in Communication Networks, Kansas City, MO, USA, May 2018.

66. U. Challita, W. Saad, and C. Bettstetter, "Deep Reinforcement Learning for Interference-Aware Path Planning of Cellular-Connected UAVs", in Proc. of the IEEE International Conference on Communications (ICC), Wireless Networking Symposium, Kansas City, MO, USA, May 2018.

67. A. Ferdowsi and W. Saad, "Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things", in Proc. of the IEEE International Conference on Communications (ICC), Communication and Information Systems Security Symposium, Kansas City, MO, USA, May 2018.

68. M. Chen, W. Saad, and C. Yin, "Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks", in Proc. of the IEEE International Conference on Communications (ICC), Cognitive Radio Networking Symposium, Kansas City, MO, USA, May 2018.

69. M. Chen, W. Saad, and C. Yin, "Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Singapore, December 2017.

70. M. Chen, W. Saad, and C. Yin, "Resource Management for Wireless Virtual Reality: Machine Learning Meets Multi-Attribute Utility", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Singapore, December 2017.

71. K. Hamidouche, W. Saad, and M. Debbah, "Popular Matching Games for Correlation-aware Resource Allocation in the Internet of Things", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications - Internet of Things (IoT) Track, Singapore, December 2017.

72. O. Semiari, W. Saad, M. Bennis, and B. Maham, "Mobility Management for Heterogeneous Networks: Leveraging Millimeter Wave for Seamless Handover", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Singapore, December 2017.

73. Q. Zhang, W. Saad, M. Bennis, and M. Debbah, "Network Formation Game for Multi-Hop Wearable Communications over Millimeter Wave Frequencies", in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Singapore, December 2017.

74. M. Naderi Soorki, A. B. MacKenzie, and W. Saad, "Millimeter Wave Network Coverage with Stochastic User Orientation", in Proc. of the 28th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) , Mobile and Wireless Networks Track, Montreal, Canada, October 2017.

75. A. Taleb Zadeh Kasgari, W. Saad, and M. Debbah, "Brain-Aware Wireless Networks: Learning and Resource Management", in Proc. of the 51st Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2017.

76. T. Park and W. Saad, "Kolkata Paise Restaurant Game for Resource Allocation in the Internet of Things", in Proc. of the 51st Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2017.

77. M. Chen, W. Saad, C. Yin, and M. Debbah, "Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality", in Proc. of the 51st Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2017.

78. N. Abuzainab, W. Saad, and B. Maham, "Robust Bayesian Learning for Wireless RF Energy Harvesting Networks", in Proc. of the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Paris, France, May 2017.

79. U. Challita, L. Dong, and W. Saad, "Deep Learning for Proactive Resource Allocation in LTE-U Networks", in Proc. of European Wireless, Dresden, Germany, May 2017.

80. M. Naderi soorki, M. J. Abdel-Rahman, A. MacKenzie, and W. Saad, "Joint Access Point Deployment and Assignment in mmWave Networks with Stochastic User Orientation", in Proc. of the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), RAWNET Workshop, Paris, France, May 2017.

81. M. Darabi, N. Namvar, B. Maham, W. Saad, and M. Debbah, "Adaptive Mode Selection in Cognitive Buffer-Aided Full-Duplex Relay Networks with Imperfect Self-Interference Cancellation for Power and Delay Limited Cases", in Proc. of the IEEE International Conference on Communications (ICC), Workshop on Full-Duplex Communications for Future Wireless Networks, Paris, France, May 2017.

82. K. Vasudeva, S. Dikmese, I. Guvenc, A. Mehbodniya, W. Saad, and F. Adachi, "Fuzzy Logic Game-Theoretic Approach for Energy Efficient Operation in HetNets", in Proc. of the IEEE International Conference on Communications (ICC), Workshop on Application of Green Techniques to Emerging Communication and Computing Paradigms (GCC), Paris, France, May 2017.

83. V. Namblar, E. Vattapparamban, A. I. Yurekli, I. Guvenc, M. Mozaffari, and W. Saad, "SDR Based Indoor Localization Using Ambient WiFi and GSM Signals", in Proc. International Conference on Computing, Networking and Communication (ICNC), 3rd National Workshop for REU Research in Networking and Systems (REUNS), Silicon Valley, USA, January 2017.

84. T. Park and W. Saad, "Resource Allocation and Coordination for Critical Messages using Finite Memory Learning," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Workshop on Self-organization Networks for 5G Wireless Communications and Internet of Things, Washington, DC, USA, December 2016.

85. M. Naderisoorki, M. Mozaffari, W. Saad, H. Manshaei, and H. Saidi, "Resource Allocation for Machine-to-Machine Communications with Unmanned Aerial Vehicles," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Workshop on Wireless Networking, Control, and Positioning for Unmanned Autonomous Vehicles , Washington, DC, USA, December 2016.

86. I. Ashraf, M. Bennis, C. Perfecto, and W. Saad, "Dynamic Proximity-aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Workshop on Internet of Everything, Washington, DC, USA, December 2016

87. M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Mobile Internet of Things: Can UAVs Provide an Energy-Efficient Mobile Architecture?," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications - Internet of Things Symposium, Washington, DC, USA, December 2016.

88. O. Semiari, W. Saad, and M. Bennis, "Downlink Cell Association and Load Balancing for Joint Millimeter Wave-Microwave Cellular Networks," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Washington, DC, USA, December 2016.

89. Q. Zhang, W. Saad, M. Bennis, and M. Debbah, "Quantum Game Theory for Beam Alignment in Millimeter Wave Device-to-Device Communications," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Next Generation Networking Symposium, Washington, DC, USA, December 2016.

90. O. Semiari, W. Saad, and M. Bennis, "Context-Aware Scheduling of Joint Millimeter Wave and Microwave Resources for Dual-Mode Base Stations," in Proc. of the IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Kualalumpur, Malaysia, May 2016.

91. T. Park and W. Saad, "Learning with Finite Memory for Machine Type Communication," in Proc. of the IEEE 50th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2016.

92. M. Naderisoorki, M. Yaghini, H. Manshaei, W. Saad, and H. Saidi, "Energy-Aware Optimization and Mechanism Design for Cellular Device-to-Device Local Area Networks," in Proc. of the IEEE 50th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2016.

93. S. Samarakoon, M. Bennis, W. Saad, M. Debbah, and M. Latva-aho, "Energy-Efficient Resource Management in Ultra Dense Small Cell Networks: A Mean-Field Approach," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications: Green Communications and Computing Symposium, San Diego, CA, USA, December 2015.

94. M. Darabi, B. Maham, W. Saad, A. Mehbodniya, and F. Adachi, "Joint Machine-Type Device Selection and Power Allocation for Buffer-Aided Cognitive M2M Communication," in Proc. of IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Workshop on M2M Communications, Hong Kong, September 2015.

95. Y. Sharaf-Dabbagh and W. Saad, "Transfer Learning for Device Fingerprinting with Application to Cognitive Radio Networks," in Proc. of IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Hong Kong, September 2015. The paper received a "Best Paper Award" at PIMRC'15.

96. A. Mehbodniya and K. Temma and R. Sugai and W. Saad and I. Guvenc, and F. Adachi, "Energy-Efficient Dynamic Spectrum Access in Wireless Heterogeneous Networks," in Proc. of the IEEE International Conference on Communications (ICC), Workshop on Next Generation Green ICT, London, UK, June 2015.

97. A. Mehbodniya and W. Saad and F. Adachi and R. Yoneya, and I. Guvenc, "An Energy-Efficient Handover Algorithm for Next Generation Heterogeneous Mobile Networks," in Proc. of the 5th Annual International Conference on Energy Aware Computing Systems and Applications (ICEAC), Cairo, Egypt, 2015.

98. O. Semiari, W. Saad, and S. Valentin, "On Self-Organizing Resource Allocation for Social Context-Aware Small Cell Networks," in Proc. of the 1st KuVS Workshop on Anticipatory Networks, Stuttgart, Germany, September 2014.