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:

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.