Semantic Communications

This page provides key resources on the research results developed by our group with respect to Semantic Communications and Goal-oriented Communications.

Journals:

Conference Publications:

  1. C. Chaccour and W. Saad, "Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications", in Proc. of the 56th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2022.

  2. 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, Brazil, December 2022.

  3. 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.

  4. 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.

  5. 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.

  6. 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.