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Books

  1. M. Chen and S. Cui, "Communication Efficient Federated Learning for Wireless Networks", Springer International Publishing, Singapore, 2023.
  2. H. Hellstrom, J. M. B. da Silva Jr., M. M. Amiri, M. Chen, V. Fodor. H. V. Poor, and C. Fischione, "Wireless for Machine Learning: A Survey", Now Publishers, Hanover, MA, 2022. [Also published in Foundations and Trends in Signal Processing.]
  3. C. S. Hong, L. U. Khan, M. Chen, D. Chen, W. Saad, and Z. Han, "Federated Learning for Wireless Networks", Springer International Publishing, Singapore, 2021.

Book Chapters

  1. Z. Yang, M. Chen, W. Saad, M. Shikh-Bahaei, H. V. Poor, and S. Cui, “Federated Learning in 6G Mobile Wireless Networks”, in 6G Mobile Wireless Networks, (eds. Y. Wu, S. Singh, T. Taleb, A. Roy, H. S. Dhillon, M. R. Kanagarathinam, A. De), Springer, Cham, Switzerland, 2021.
  2. N. Shlezinger, M. Chen, Y. Eldar, H. V. Poor, and S. Cui, Quantized Federated Learning, in Machine Learning and Wireless Communications, (eds. A. Goldsmith, D. Guduz, H. V. Poor, and Y. Eldar), Cambridge University Press, Cambridge, UK, 2020.
  3. M. Chen, W. Saad, and C. Yin, Cache-Enabled UAVs in Wireless Networks, in Wireless Edge Caching: Modelling, Analysis, and Optimization, (eds. T. Q. S. Quek, E. Bastug, S. Chatzinotas, and T. X. Vu), Cambridge University Press, Cambridge, UK, 2019.

Journal and Conference Publications

2024

  1. Z. Li, M. Chen, G. Li, X. Lin, and Y. Liu, “Map-Driven mmWave Link Quality Prediction with Spatial-Temporal Mobility Awareness”, IEEE Transactions on Mobile Computing, to appear, 2024.
  2. Z. Zhang, Y. Liu, Z. Peng, M. Chen, D. Xu, and S. Cui, “Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks”, IEEE Journal on Selected Areas in Communications, to appear, 2024.
  3. L. Sun, Y. Yang, M. Chen, and C. Guo, “Disentangled Information Bottleneck guided Privacy-Protective Joint Source and Channel Coding for Image Transmission”, IEEE Transactions on Communications, to appear, 2024. (Available: ArXiv)
  4. S. Zhang, Z. Yang, M. Chen, D. Liu, K. K. Wong, and H. V. Poor, “Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks”, IEEE Transactions on Wireless Communications, vol. 23, no. 3, pp. 2325 - 2339, Mar. 2024. (Available: ArXiv)
  5. Y. Oh, Y. S. Jeon, M. Chen, and W. Saad, “FedVQCS: Federated Learning via Vector Quantized Compressed Sensing”, IEEE Transactions on Wireless Communications, vol. 23, no. 3, pp. 1755 - 1770, Mar. 2024. (Available: ArXiv)
  6. W. Zhang, Y. Wang, M. Chen, T. Luo, and D. Niyato, "Optimization of Image Transmission in Cooperative Semantic Communication Networks", IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 861 - 573, Feb. 2024. (Available: ArXiv)
  7. X. Li, M. Chen, Y. Hu, Z. Zhang, D. Liu, and S. Mao, “Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach”, IEEE Transactions on Wireless Communications, to appear, 2024. (Available: ArXiv)
  8. H. Yu, Y. Liu, and M. Chen, “Complex-Valued Neural Network Based Federated Learning for Multi-User Indoor Positioning Performance Optimization”, IEEE Internet of Things Journal, to appear, 2024. (Available: ArXiv)
  9. Y. Zhu, M. Chen, S. Wang, Y. Hu, Y. Liu, and C. Yin, “Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking”, IEEE Transactions on Mobile Computing, to appear, 2024. (Available: ArXiv)
  10. Z. Zhu, Y. Yang, M. Chen, C. Guo, J. Hao, and S. Cui, “Visible Light Positioning with Visual Odometry: A Single Luminaire Based Positioning Algorithm”, IEEE Transactions on Communications, to appear, 2024. (Available: ArXiv)
  11. R. Zhang, F. Liu, J. Liu, M. Chen, Q. Tang, T. Huang, F. R. Yu, “CPPer-FL: Clustered Parallel Training for Efficient Personalized Federated Learning”, IEEE Transactions on Mobile Computing, to appear, 2024. (Available: ArXiv)
  12. Y. Cang, M. Chen, Y. Pan, Z. Yang, Y. Hu, H. Sun, and M. Chen, “Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks”, IEEE Transactions on Communications, to appear, 2024. (Available: ArXiv)
  13. Z. Zhang, M. Chen, Z. Yang, and Y. Liu, "Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning", in Proc. IFIP/IEEE Networking, Thessaloniki, Greece, June 2024.
  14. Z. Yang, Y. Wang, M. Chen, J. Liu, and Y. Liu, "GemNet: Analysis and Prediction of Building Materials for Optimizing Indoor Wireless Networks", in Proc. IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Denver, CO, USA, June 2024.
  15. Z. Li, X. Luo, M. Chen, C. Xu, and Y. Liu, "Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits", in Proc. IEEE International Conference on Communications (ICC), Wireless Communications Symposium, Denver, CO, USA, June 2024.
  16. J. Zhang, M. Chen, Y. Zhu, S. Hu, T. Luo, and Z. Zhang, "Performance Optimization of Semantic Communications for Users with Heterogeneous Knowledge", in Proc. IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Denver, CO, USA, June 2024.
  17. N. Yang, S. Wang, M. Chen, C. Yin, C. G. Brinton, "A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design", in Proc. IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Denver, CO, USA, June 2024.
  18. J. Zhao, M. Chen, Z. Yang, C. You, and M. Chen, "Resource Allocation for Semantic Relay Aided Wireless Networks with Probability Graph", in Proc. IEEE International Conference on Communications (ICC), Green Communication Systems and Networks Symposium , Denver, CO, USA, June 2024.
  19. O. Huan, M. Chen, and T. Luo , "Optimizing Vehicle Positioning via Multi-model Image and Radio Frequency Fusion", in Proc. IEEE International Conference on Communications (ICC), Signal Processing for Communications Symposium , Denver, CO, USA, June 2024.
  20. L. Lin, Z. Yang, and M. Chen, "A Joint Communication and Learning Design for Secure Federated Learning With Differential Privacy", in Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May 2024.
  21. X. Li, M. Chen, Y. Hu, Z. Zhang, D. Liu, and S. Mao, "Dynamic Graph Neural Networks for Joint Terahertz based Sensing and Communication Optimization in Vehicular Networks", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, April 2024.
  22. R. Xu, G. Li, Z. Yang, M. Chen, Y. Liu, and J. Li, "Covert and Reliable Semantic Communication Against Cross-layer Privacy Inference over Wireless Edge Networks", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, April 2024.
  23. L. Sun, C. Guo, M. Chen, and Y. Yang, "Privacy-aware Joint Source-channel Coding for Image Transmission based on Disentangled Information Bottleneck", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April 2024.
  24. Z. Yang, M. Chen, Y. Liu, and Z. Zhang, "Optimizing Synchronization Delay for Digital Twin over Wireless Networks", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April 2024.

2023

  1. X. Li, M. Chen, Y. Liu, Z. Zhang, D. Liu, and S. Mao, “Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks”, IEEE Journal on Selected Areas in Communications, Special Issue on 5G/6G Precise Positioning on Cooperative Intelligent Transportation Systems (C-ITS) and Connected Automated Vehicles (CAV), vol. 41, no. 12, pp. 3893 - 3907, Dec. 2023. (Available: ArXiv)
  2. L. Sun, Y. Yang, M. Chen, C. Guo, W. Saad, and H. V. Poor, “Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission”, IEEE Journal on Selected Areas for Communications (JSAC), Special Issue on Beyond Shannon Communications: A Paradigm Shift to Catalyze 6G, vol. 41, no. 8, pp. 2628 - 2644, Aug. 2023. (Available: ArXiv)
  3. Z. Zhu, C. Guo, R. Bao, M. Chen, W. Saad, and Y. Yang, "Positioning Using Visible Light Communications: A Perspective Arcs Approach", IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 6962 - 6977, Oct. 2023. (Available: ArXiv)
  4. J. Yao, Z. Yang, W. Xu, M. Chen, and D. Niyato, "GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning", IEEE Wireless Communications Letters, vol. 12, no. 9, pp. 1543 - 1547, Sept. 2023. (Available: ArXiv)
  5. Z. Yang, M. Chen, Z. Zhang, C. Huang, "Energy Efficient Semantic Communication over Wireless Networks with Rate Splitting", IEEE Journal on Selected Areas for Communications (JSAC), Special Issue on Rate Splitting for Future Wireless Networks, vol. 41, no. 5, pp. 1484 - 1495, May 2023. (Available: ArXiv)
  6. B. Chen, G. Li, M. Chen, Y. Liu, X. Yi, and J. Li, "PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning", in Proc. IEEE High Performance Computing and Communications (HPCC), Melbourne, Australia, December 2023.
  7. H. Yu, M. Chen, Z. Yang, and Y. Liu, "Complex Neural Networks for Indoor Positioning with Complex-Valued Channel State Information", in Proc. IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications: Integrated Sensing and Communication, Kuala Lumpur, Malaysia, December 2023.
  8. N. Yang, S. Wang, M. Chen, C. Shen, C. Yin, and C. G. Brinton, "MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization", in Proc. IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications: Machine Learning for Communications, Kuala Lumpur, Malaysia, December 2023.
  9. Z. Li, M. Chen, G. Li, and Y. Liu, "Spatial-Temporal Attention-based mmWave Link Quality Prediction under Dynamic Blockages", in Proc. IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Home Group News Professional Service Publication Networks Symposium, Kuala Lumpur, Malaysia, December 2023.
  10. Y. Zhu, M. Chen, S. Wang, Y. Liu, and C. Yin, "Trajectory Design for 3D UAV Localization in UAV Based Network", in Proc. IEEE Global Communications Conference (GLOBECOM), Signal Processing for Communications Symposium, Kuala Lumpur, Malaysia, December 2023.
  11. N. Yang, S. Wang, M. Chen, C. G. Brinton, and C. Yin, "Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach", in Proc. IEEE Global Communications Conference (GLOBECOM), Green Communication Systems and Network, Kuala Lumpur, Malaysia, December 2023.
  12. Y. Liu, M. Chen, D. Xu, Z. Yang, and S. Zhao, "E-App: Adaptive mmWave Access Point Planning with Environmental Awareness in Wireless LANs", in Proc. International Conference on Computer Communications and Networks (ICCCN), Waikiki Beach, Honolulu, HI, USA, July 2023. (ICCCN 2023 Best Paper Award)
  13. X. Li, M. Chen, Z. Zhang, D. Liu, Y. Liu, and S. Mao, "Joint Optimization of Sensing and Communications in Vehicular Networks: A Graph Neural Network-based Approach", in Proc. IEEE International Conference on Communications (ICC), SAC Integrated Sensing and Communication Track, Rome, Italy, May 2023.
  14. M. Xu, D. Niyato, J. Kang, Z. Xiong, and M. Chen, "Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing", in Proc. IEEE International Conference on Communications (ICC), SAC Big Data Track, Rome, Italy, May 2023.
  15. Z. Zhu, Y. Yang, M. Chen, C. Guo, and Y. Bai, "Visible Light Positioning Based on a Single Luminaire: A Novel Visual Odometry Assisted Algorithm", in Proc. IEEE International Conference on Communications (ICC), Green Communication Systems and Networks Symposium, Rome, Italy, May 2023.

2022

  1. Z. Yang, M. Chen, W. Saad, M. Shikh-Bahaei, "Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication", IEEE Transactions on Mobile Computing, vol. 21, no. 7, pp. 2596 - 2609, Jul. 2022. (Available: ArXiv)
  2. 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, vol. 40, no. 9, pp. 2598 - 2613, Sept. 2022. (Available: ArXiv)
  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, vol. 21, no. 12, pp. 10407 - 10423, Dec. 2022. (Available: ArXiv)
  4. Y. Wang, M. Chen, Z. Yang, W. Saad, T. Luo, S. Cui, and H. V. Poor, "Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks", IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7778 - 7793, Sept. 2022. (Available: ArXiv)
  5. S. Wang, M. Chen, Z. Yang, C. Yin, W. Saad, S. Cui, and H. V. Poor, "Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics", IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 3, pp. 501 - 515, Apr. 2022.
  6. 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, vol. 70, no. 1, pp. 350 - 365, Jan. 2022.
  7. Y. Yang, Y. Yang, M. Chen, C. Feng, H. Xia, S. Cui, and H. V. Poor, "Joint Antenna Selection and Precoding Optimization for Multiple-User Multiple-Cell VLC Systems", IEEE Internet of Things Journal, vol. 9, no. 8, pp. 6003 - 6017, Apr. 2022.
  8. L. Bai, Y. Yang, M. Chen, C. Feng, C. Guo, W. Saad, and S. Cui, "Computer Vision-based Localization with Visible Light Communication", IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 2051 - 2065, Mar. 2022.
  9. 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, vol. 21, no. 1, pp. 665 - 679, Jan. 2022. (Available: ArXiv)
  10. R. Hamdi, M. Chen, A. B. Said, M. Qaraqe, and H. V. Poor, "Federated Learning over Energy Harvesting Wireless Networks", IEEE Internet of Things Journal, vol. 9, no. 1, pp. 92 - 103, Jan. 2022.
  11. Z. Yang, M. Chen, Z. Zhang, C. Huang, Q. Yang, "Performance Optimization of Energy Efficient Semantic Communications over Wireless Networks", in Proc. IEEE Vehicular Technology Conference (VTC), London, United Kingdom, September 2022.
  12. S. Zhang, Z. Yang, M. Chen, D. Liu, K. K. Wang, and H. V. Poor, "Performance Optimization for Intelligent Reflecting Surface Assisted Multicast MIMO Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Selected Areas in Communications: Reconfigurable Intelligent Surfaces, Rio de Janeiro, Brazil, December 2022.
  13. W. Zhang, Y. Wang, M. Chen, and N. Dusit, "Optimization of Image Transmission in Semantic Communication Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Wireless Communications Symposium, Rio de Janeiro, Brazil, December 2022.
  14. 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. IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Rio de Janeiro, Brazil, December 2022.
  15. Y. Oh, Y.-S. Jeon, M. Chen, and W. Saad, "Vector Quantized Compressed Sensing for Communication-Efficient Federated Learning", in Proc. the IEEE Global Communications Conference, Workshop on Wireless Communications for Distributed Intelligence, Rio de Janeiro, Brazil, December 2022.
  16. M.Chen,Y.Wang,andH.V.Poor, "Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing Home Group News Professional Service Publication (ICASSP), Singapore, May 2022. (Invited paper)

2021

  1. M. Chen, D. Gündüz, 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, vol. 39, no. 12, pp. 3579 - 3605, Dec. 2021. (Available: ArXiv)
  2. M. Chen, N. Shlezinger, H. V. Poor, Y. C. Eldar, and S. Cui, "Communication Efficient Federated Learning", Proceedings of the National Academy of Sciences of the United States of America, vol. 118, no. 17, Apr. 2021.
  3. Y. Fu, Y. Zhang, Q. Zhu, M. Chen, and T. Q. S. Quek, "Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Network", IEEE Journal on Selected Areas in Communications, vol. 40, no. 5, pp. 1600 - 1614, May 2022.
  4. Z. Yang, M. Chen, K. K. Wong, H. V. Poor, S. Cui, "Federated learning for 6G: Applications, challenges, and opportunities", Engineering, vol. 8, pp. 33 - 41, Jan. 2022. (Available: ArXiv) (Invited paper)
  5. W. Huang, Y. Yang, M. Chen, C. Liu, C. Feng, and H. V. Poor, "Wireless Network Optimization for Federated Learning with Model Compression in Hybrid VLC/RF Systems", Engineering, vol. 23, no. 11, Oct. 2021. (Invited paper)
  6. Z. Zhong, M. Chen, X. Liu, Y. Liu, Y. Chen, S. Cui, and H. V. Poor, "AI Driven UAV-NOMA-MEC in Next Generation Wireless Networks", IEEE Wireless Communications, vol. 28, no. 5, pp. 66 - 73, Oct. 2021. (Available: ArXiv)
  7. Z. Yang, M. Chen, W. Saad, M. Shikh-Bahaei, "Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)", IEEE Transactions on Communications, vol. 69, no. 9, pp. 5988 - 6002, Sept. 2021. (Available: ArXiv)
  8. 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, vol. 8, no. 24, pp. 17460 - 17475, Dec. 2021. (Available: ArXiv)
  9. 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, vol. 39, no. 10, pp. 3177 - 3192, Oct. 2021. (Available: ArXiv)
  10. L. Xu, M. Chen, M. Chen, Z. Yang, C. Chaccour, W. Saad, and C. S. Hong, "Joint Location and Power Optimization for THz-enabled UAV Communications", IEEE Communications Letters, vol. 25, no. 6, pp. 1984 - 1988, June. 2021. (Available: ArXiv)
  11. J. Dai, K. Tan, Z. Si, K. Niu, M. Chen, H. V. Poor, and S. Cui, "Learning to Decode Protograph LDPC Codes", IEEE Journal on Selected Areas in Communications, vol. 39, no. 7, pp. 1983 - 1999, July. 2021. (Available: ArXiv)
  12. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Convergence Time Optimization for Federated Learning over Wireless Networks", IEEE Transactions on Wireless Communications, vol. 20, no. 4, pp. 2457 - 2471, Apr. 2021. (Available: ArXiv)
  13. 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, Feb. 2021. (Available: ArXiv)
  14. Z. Yang, M. Chen, W. Saad, C. S. Hong, M. Shikh-Bahaei, "Energy Efficient Federated Learning Over Wireless Communication Networks", IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1935 - 1949, Mar. 2021. (Available: ArXiv) (2023 IEEE Communications Society Katherine Johnson Young Author Best Paper Award)
  15. X. Liu, M. Chen, Y. Liu, Y. Chen, S. Cui, L. Hanzo, "Artificial Intelligence Aided Next-Generation Networks Relying on UAVs", IEEE Wireless Communications, vol. 28, no. 1, pp. 120 - 127, Feb. 2021. (Available: ArXiv)
  16. 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, Jan. 2021. (Available: ArXiv) (2023 IEEE Marconi Prize Paper Award in Wireless Communications)
  17. S. Wang, M. Chen, X. Liu, C. Yin, S. Cui, and H. V. Poor, "A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks", IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1358 - 1372, Feb. 2021. (Available: ArXiv)
  18. Z. Yang, G. Jia, M. Chen, H. Lam, K. Wong, S. Cui, and H. V. Poor, "A Joint Communication and Federated Learning Framework for Internet of Things Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Madrid, Spain, December 2021.
  19. Z. Xu, M. Chen, M. Chen, Z. Yang, Y. Cang, H. V. Poor, "Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Optical Networks and Systems, Madrid, Spain, December 2021.
  20. 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. IEEE Global Communications Conference (GLOBECOM), Signal Processing for Communications Symposium, Madrid, Spain, December 2021.
  21. R. Hamdi, M. Chen, A. Said, M. Qaraqe, and H. V. Poor, "User Scheduling in Federated Learning over Energy Harvesting Wireless Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Green Communication Systems and Networks Symposium, Madrid, Spain, December 2021.
  22. T. Zeng, O. Semiari, M. Chen, W. Saad, and M. Bennis, "Federated Learning for Collaborative Controller Design of Connected and Autonomous Vehicles", in Proc. IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 2021.
  23. X. Liu, S. Wang, M. Chen, C. Yin, S. Cui, and H. V. Poor, "Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks", in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, September 2021. (Invited paper)
  24. M. Chen, N. Shlezinger, H. V. Poor, Y. C. Eldar, and S. Cui, "Joint Resource Management and Model Compression for Wireless Federated Learning", in Proc. IEEE International Conference on Communications (ICC), Cognitive Radio and AI-Enabled Networks Symposium, Montreal, Canada, June 2021.
  25. Y. Hu, M. Chen, M. Chen, Z. Yang, M. Shikh-Bahaei, H. V. Poor, and S. Cui, "Energy Minimization for Federated Learning with IRS-Assisted Over-the-Air Computation", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, June 2021.
  26. D. Zhang, J. Dai, K. Tan, K. Niu, M. Chen, H. V. Poor, S. Cui, "Neural Layered Min-sum Decoding for Protograph LDPC Codes", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, June 2021.
  27. Z. Yang, M. Chen, K. K. Wong, W. Saad, H. V. Poor, and S. Cui, "Performance Optimization of a Distributed Primal-Dual Algorithm over Wireless Networks", in Proc. IEEE International Conference on Communications (ICC), Green Communication Systems and Networks Symposium, Montreal, Canada, June 2021.
  28. Y. Wang, M. Chen, Z. Yang, W. Saad, T. Luo, S. Cui, and H. V. Poor, "Meta-Reinforcement Learning for Immersive Virtual Reality over THz/VLC Wireless Networks", in Proc. IEEE International Conference on Communications (ICC),Mobile and Wireless Networks Symposium, Montreal, Canada, June 2021.
  29. 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", in Proc. IEEE International Conference on Communications (ICC), SAC Machine Learning for Communications, Montreal, Canada, June 2021.
  30. C. Liu, C. Guo, Y. Yang, M. Chen, H. V. Poor, and S. Cui, "Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems", in Proc. IEEE Wireless Communications and Networking Conference, Nanjing, China, March, 2021. (IEEE WCNC 2021 Best Paper Award)
  31. Z. Yan, G. Li, Y. Tian, J. Wu, S. Li, M. Chen, and H. V. Poor, "DeHiB: Deep Hidden Backdoor Attack on Semi- supervised Learning via Adversarial Perturbation", in Proc. AAAI Conference on Artificial Intelligenceg, Virtual Conference, Feb. 2021.

2020

  1. N. Shlezinger, M. Chen, Y. Eldar, H. V. Poor, and S. Cui, "UVeQFed: Universal Vector Quantization for Federated Learning", IEEE Transactions on Signal Processing, vol. 69, pp. 500 - 514, Dec. 2020. (Available: ArXiv)
  2. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Wireless Communications for Collaborative Federated Learning", IEEE Communications Magazine, vol. 58, no. 12, pp. 48 - 54, Dec. 2020. (Available: ArXiv)
  3. Y. Wang, M. Chen, Z. Yang, T. Luo, 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, Nov. 2020. (Available: ArXiv)
  4. 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. 19, no. 6, pp. 3908 - 3923, June 2020. (Available: ArXiv)
  5. 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. (Available: ArXiv)
  6. 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/June 2020. (Available: ArXiv) (2022 IEEE Communications Society Fred W. Ellersick Prize Award)
  7. Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, "Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI- Enabled Networks Symposium, Taipei, Taiwan, December 2020. (IEEE GLOBECOM 2020 Best Paper Award)
  8. 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. IEEE Global Communications Conference (GLOBECOM), Green Communications Systems and Networks Symposium, Taipei, Taiwan, December 2020.
  9. 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. IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Taipei, Taiwan, December 2020.
  10. J. Zhao, M. Chen, M. Chen, Z. Yang, Y. Wang, B. Cao, and M. Shikh-Bahaei, "Energy Efficient Full-Duplex Communication Systems with Reconfigurable Intelligent Surface", in Proc. IEEE Vehicular Technology Conference (VTC), Victoria, BC, Canada, Oct. 2020.
  11. B. Cao, M. Chen, Z. Yang, M. Zhang, J. Zhao, and M. Chen, "Reflecting the Light: Energy Efficient Visible Light Communication with Reconfigurable Intelligent Surface", in Proc. IEEE Vehicular Technology Conference (VTC), Victoria, BC, Canada, Oct. 2020.
  12. 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. International Conference on Machine Learning (ICML), Workshop on Federated Learning for User Privacy and Data Confidentiality, Vienna, Austria, July 2020.
  13. Y. Hu, M. Chen, Z. Yang, M. Chen, and G. Jia, "Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach", in Proc. IEEE Personal, Indoor, and Mobile Radio Communications Conference (PIMRC), London, UK, September 2020.
  14. Z. Zhu, Y. Yang, C. Guo, M. Chen, S. Cui, and H. V. Poor, "Power Efficient Deployment of VLC-enabled UAVs", in Proc. IEEE Personal, Indoor, and Mobile Radio Communications Conference (PIMRC), London, UK, September 2020.
  15. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Performance Optimization of Federated Learning over Mobile Wireless Networks", in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, GA, May 2020. (Invited paper)
  16. Z. Yang, J. Shi, Z. Li, M. Chen, W. Xu, and M. Shikh-Bahaei, "Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface", in Proc. IEEE International Conference on Communications (ICC), Workshop on Rate-Splitting and Robust Interference Management for Beyond 5G, Dublin, Ireland, June 2020.
  17. M. Chen, H. V. Poor, W. Saad, and S. Cui, "Convergence Time Minimization of Federated Learning over Home Group News Professional Service Publication Wireless Networks", in Proc. IEEE International Conference on Communications (ICC), Cognitive Radio and AI- Enabled Networks Symposium, Dublin, Ireland, June 2020. (IEEE ICC 2020 Best Paper Award)
  18. S. Wang, M. Chen, W. Saad, and C. Yin, "Federated Learning for Energy-Efficient Task Computing in Wireless Networks", in Proc. IEEE International Conference on Communications (ICC), Wireless Communications Symposium, Dublin, Ireland, June 2020.
  19. Z. Yang, M. Chen, W. Saad, and M. Shikh-Bahaei, "Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA)", in Proc. IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Dublin, Ireland, June 2020.
  20. 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. IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Dublin, Ireland, June 2020.
  21. N. Shlezinger, M. Chen, Y. Eldar, H. V. Poor, and S. Cui, "Federated Learning with Quantization Constraints", in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. (Invited paper)
  22. X. Liu, M. Chen, S. Wang, W. Saad, and C. Yin, "Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Wireless Networks Track, Seoul, South Korea, April 2020.
  23. W. Ding, Z. Yang, M. Chen, J. Hou, and M. Shikh-Bahaei, "Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Wireless Networks Track, Seoul, South Korea, April 2020.

2019

  1. 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. (Available: ArXiv)
  2. Y. Yang, M. Chen, C. Guo, C. Feng, and W. Saad, "Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)", IEEE Communications Letters, vol. 23, no. 7, pp. 1272 - 1275, July 2019. (Available: ArXiv)
  3. 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. (Available: ArXiv)
  4. 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 Wireless Communications, vol. 67, no. 6, pp. 4267 - 4280, June 2019. (Available: ArXiv)
  5. X. Liu, M. Chen, and C. Yin, "Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A double Q-learning Approach", Journal of Communications and Information Networks, vol. 4, no. 1, pp. 24 - 32, March 2019. (Available: ArXiv) (Invited paper)
  6. 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. (Available: ArXiv)
  7. 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. 26, no. 1, pp. 28 - 35, February 2019. (Available: ArXiv)
  8. M. Chen, Z. Yang, W. Saad, C. Yin, H. V. Poor, and S. Cui, "Performance Optimization of Federated Learning over Wireless Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI- Enabled Networks Symposium, Waikoloa, HI, USA, December 2019.
  9. M. Chen, O. Semiari, W. Saad, X. Liu, and C. Yin, "Federated Deep Learning for Immersive Virtual Reality over Wireless Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Cognitive Radio and AI- Enabled Networks Symposium, Waikoloa, HI, USA, December 2019.
  10. Y. Wang, M. Chen, Z. Yang, X. Hao, T. Luo, and W. Saad, "Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs", in Proc. IEEE Global Communications Conference (GLOBECOM), Next-Generation Networking and Internet Symposium, Waikoloa, HI, USA, December 2019.
  11. 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. IEEE Global Communications Conference (GLOBECOM), Wireless Communications Symposium, Waikoloa, HI, USA, December 2019.
  12. S. Wang, M. Chen, X. Liu, and C. Yin, “Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach”, in Proc. IEEE Global Communications Conference, Workshop on Advanced mobile edge/fog computing for 5G mobile networks and beyond, Waikoloa, HI, USA, December 2019.
  13. Y. Hu, M. Chen, and W. Saad, "Competitive Market for Joint Access and Backhaul Resource Allocation in Home Group News Professional Service Publication Satellite-Drone Networks", in Proc. IFIP International Conference on New Technologies, Mobility and Security (NTMS), Mobility & Wireless Networks Track, Canary Islands, Spain, June 2019.
  14. M. Chen, W. Saad, and C. Yin, "Deep Learning for 360 Content Transmission in UAV-Enabled Virtual Reality", in Proc. IEEE International Conference on Communications (ICC), Next-Generation Networking and Internet Symposium, Shanghai, China, May 2019.
  15. M. Chen, W. Saad, and C. Yin, "Liquid State based Transfer Learning for 360 Image Transmission in Wireless VR Networks", in Proc. IEEE International Conference on Communications (ICC), Cognitive Radio and Networks Symposium, Shanghai, China, May 2019.

2018 and Before

  1. 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, Nov. 2018. (Available: ArXiv) (2021 IEEE ComSoc Young Author Best Paper Award)
  2. M. Chen, W. Saad, C. Yin, and M. Debbah, "Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users", IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3520 - 3535, June 2017. (Available: ArXiv)
  3. M. Chen, M. Mozzaffari, W. Saad, C. Yin, M. Debbah, and C. S. Hong, "Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience", IEEE Journal on Selected Areas on Communications (JSAC), Special Issue on Human-In-The-Loop Mobile Networks, vol. 35, no. 5, pp. 1046 - 1061, May 2017. (Available: ArXiv)
  4. M. Chen, W. Saad, and C. Yin, "Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling", IEEE Transactions on Wireless Communications, vol. 16, no. 1, pp. 3 - 16, Jan. 2017. (Available: ArXiv)
  5. X. Yang, C. Pan, M. Chen, and C. Yin, "Distributed Resource Allocation for Mobile Users in Cache-Enabled Software Defined Cellular Networks", in Proc. International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, Oct. 2018.
  6. M. Chen, W. Saad, and C. Yin, "Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV- enabled LTE-U Networks", in Proc. IEEE International Conference on Communications (ICC), Cognitive Radio Networking Symposium, Kansas City, MO, USA, May 2018.
  7. X. Liu, M. Chen, C. Yin, and W. Saad, "Analysis of Memory Capacity for Deep Echo State Networks", in Proc. IEEE International Conference on Machine Learning and Applications, Orlando, Florida, USA, December 2018.
  8. X. Liu, M. Chen, and C. Yin, "Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q- Learning Approach", in Proc. IEEE International Conference on Communication Systems, Chengdu, China, December 2018. (Invited paper)
  9. 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. IEEE Global Communications Conference (GLOBECOM), Next Generation Networking and Internet Symposium, Singapore, December 2017.
  10. M. Chen, W. Saad, and C. Yin, "Resource Management for Wireless Virtual Reality: Machine Learning Meets Multi-Attribute Utility", in Proc. IEEE Global Communications Conference (GLOBECOM), Mobile and Wireless Networks Symposium, Singapore, December 2017.
  11. 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. Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 2017.
  12. T. Gao, M. Chen, H. Gu, and C. Yin, "Reinforcement Learning based Resource Allocation in Cache-Enabled Small Cell Networks with Mobile Users", in Proc. IEEE/CIC International Conference on Communications in China, Qingdao, China, October 2017.
  13. M. Chen, W. Saad, C. Yin, and M. Debbah, "Echo State Networks for Proactive Caching and Content Prediction in Cloud Radio Access Networks", in Proc. IEEE Global Communications Conference (GLOBECOM), Workshop on 5G RAN Design, Washington, DC, USA, December 2016.
  14. M. Chen, W. Saad, and C. Yin, "Optimized Uplink-Downlink Decoupling in LTE-U Networks: An Echo State Approach", in Proc. IEEE International Conference on Communications (ICC), Mobile and Wireless Networks Symposium, Kualalumpur, Malaysia, May 2016.
  15. M. Chen, Y. Hu and C. Yin, “Tri-Sectoring and Power Allocation of Macro Base Stations in Heterogeneous Cellular Networks with Matern Hard-Core Processes”, in Proc. IEEE Vehicular Technology Conference (VTC), Nanjing, China, May 2016.
  16. M. Chen, F. Liu and Z. Zeng, “Power Control Algorithm Based on the Interference Statistic Properties in Heterogeneous Networks”, in Proc. IEEE Personal, Indoor, and Mobile Radio Communications Conference (PIMRC), Hong Kong, September 2015.