Machine Learning

• Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd ed., in progress.

Machine Learning for Cellular Communications Overview

• Erik Larsson and Emil Bjornson, "Machine Learning for Wireless", Episode 7, Wireless Future Podcast, Jan. 12, 2021.
• H. Viswanathan and P. E. Mogensen, "Communications in the 6G Era", IEEE Access, Mar. 18, 2020.

Physical Layer Communications

• M. Honkala, D. Korpi, and J. M. J. Huttunen, "DeepRx: Fully Convolutional Deep Learning Receiver", IEEE Trans. Wireless Commun., vol. 20, no. 6, June 2021, pp. 3925-3940.
• F. A. Aoudia and J. Hoydis, "End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication", IEEE Trans. Wireless Commun., accepted for publication.
• H. Kim, S. Oh, and P. Viswanath, "Physical Layer Communication via Deep Learning", IEEE Journal on Selected Areas in Info. Theory, vol. 1, no. 1, May 2020, pp. 5-18.
• H. Kim, Y. Jiang, S. Kannan, S. Oh, and P. Viswanath, "Deepcode: Feedback Codes via Deep Learning", IEEE Journal on Selected Areas in Info. Theory, vol. 1, no. 1, May 2020, pp. 194-206.
• F. B. Mismar, A. AlAmmouri, A. Alkhateeb, J. G. Andrews, and B. L. Evans, "Deep Learning Predictive Band Switching in Wireless Networks", IEEE Trans. Wireless Commun., vol. 20, no. 1, Jan. 2021, pp. 96-109.
• F. B. Mismar, B. L. Evans, and A. Alkhateeb, "Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination", IEEE Trans. Commun., vol. 68, no. 3, Mar. 2020, pp. 1581-1592.
• E. Balevi, A. Doshi and J. G. Andrews, "Massive MIMO channel estimation with an untrained deep neural network", IEEE Trans. Wireless Commun., vol. 19, no. 3, Mar. 2020, pp. 2079-90.
• E. Balevi, A. Doshi, A. Jalal, A. Dimakis, J. G. Andrews, "High Dimensional Channel Estimation Using Deep Generative Networks", IEEE Journal on Selected Areas in Commun., vol. 39, no. 1, Jan. 2021, pp. 18-30.
• I. P. Roberts, J. G. Andrews, H. B. Jain, and S. Vishwanath, "Millimeter Wave Full-Duplex Radios: New Challenges and Techniques", IEEE Wireless Commun. Magazine, vol. 28, no. 1, Feb. 2021, pp. 36-43.
• P. Nuti and B. L. Evans, "Spectral Efficiency vs Complexity in Downlink Algorithms for Reconfigurable Intelligent Surfaces", Proc. IEEE Int. Conf. on Commun., Jun. 2021.
• F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Trans. on Commun., vol. 67, no. 10, Oct. 2019, pp. 7152-67.

Low-Latency Scheduling

• M. Gupta, A. Rao, E. Visotsky, A. Ghosh, and J. G. Andrews, "Learning Link Schedules in Self-backhauled Millimeter Wave Cellular Networks", IEEE Trans. Wireless Commun., vol. 19, no. 12, Dec. 2020, pp. 8024-8038.
• A. Anand, G. De Veciana, and S. Shakkottai, "Joint scheduling of URLLC and eMBB traffic in 5G wireless networks", IEEE/ACM Transactions on Networking, vol. 28, no. 2, Apr. 2020, pp. 477-490.
• S. Kassir, G. De Veciana, N. Wang, X. Wang, and P. Palacharla, "Service Placement for Real-Time Applications: Rate-Adaptation and Load-Balancing at the Network Edge", Proc. IEEE Int. Conf. on Cyber Security and Cloud Computing / Edge Computing and Scalable Cloud, Aug. 2020, pp. 207-15.
• A. Banchs, G. De Veciana, V. Sciancalepore, and X. Costa-Perez, "Resource Allocation for Network Slicing in Mobile Networks", IEEE Access, vol. 8, Nov. 2020, pp. 214696-214706.

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