Patents

• Marwan Krunz, Irmak Aykin, and Berk Akgun, "A method for fast beam sweeping and device discovery in 5G millimeter wave and upper centimeter-wave systems," U.S. Patent No. 10,972,172, issued April 6, 2021 (PCT Patent Application no 16/593,867, filed Oct. 5, 2019. Previously, a provisional version of this patent was filed on Oct. 5, 2018 based on Invention Disclosure UA 18-209). Licensed to Freefall Aerospace Inc. on Sep. 13, 2019.

Journals

• Sopan Sarkar, Phai Vu Dinh, Marwan Krunz, Santosh Timilsina, Diep N. Nguyen, and Sangkyo Shin, "AI-based spatio-temporal beam prediction from partial CSI-RS observations in mmWave systems," accepted for the IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), Sept. 2026.

• Sopan Sarkar, Marwan Krunz, David Manzi, and Rajesh Kulkarni, "ARCS: Adversarial RF map categorization and synthesis through unsupervised feature extraction," IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), vol. 4, pp. 612-628, Mar. 2026, doi: 10.1109/TMLCN.2026.3676377.

• Sopan Sarkar, Marwan Krunz, Sherif Badran, Josep M Jornet, David Manzi, and Rajesh Kulkarni, "GAMBIT: A generalized adaptive multi-armed bandit for intelligent beam tracking and rate adaptation," IEEE Transactions on Vehicular Technology, vol. 74, pp. 17683-17696, Nov. 2025, doi: 10.1109/TVT.2025.3580601.

• Mingjie Feng and Marwan Krunz, “Online learning-based beamwidth optimization for initial access in millimeter wave cellular networks,” IEEE Transactions on Cognitive Communications and Networking (TCCN), vol. 11, pp. 231-242, Feb. 2025, doi: 10.1109/TCCN.2024.3422505.

• Marwan Krunz, Irmak Aykin, Sopan Sarkar, and Berk Akgun, “Online reinforcement learning for beam tracking and rate adaptation in millimeter-wave systems,” IEEE Transactions on Mobile Computing (TMC), vol. 23, issue 2, pp. 1830-1845, Feb. 2024.

• Irmak Aykin and Marwan Krunz, “Efficient beam sweeping algorithms and initial access protocols for millimeter-wave networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 4, pp. 2504-2514, Apr. 2020.

• Irmak Aykin, Berk Akgun, and Marwan Krunz, “Multi-beam transmissions for blockage resilience and reliability in millimeter-wave systems,” IEEE Journal on Selected Areas in Communications (JSAC) - Special Issue on Millimeter-wave Networking, vol. 37, no. 12, pp. 2772-2785, Dec. 2019.

Conferences

• Sopan Sarkar and Marwan Krunz, "Physics-Informed Kernelized Thompson Sampling for Beam Management in Millimeter-Wave Systems," accepted for the ACM MobiHoc'26 Conference, Tokyo, 2026.

• Sopan Sarkar and Marwan Krunz, "SAIL: Unsupervised spatial-angular interpretable feature learning for RF map synthesis," Proc. of the IEEE ICCSPA'26 Conference, June 2026.

• Sopan Sarkar, Mohammad Hossein Manshaei, Marwan Krunz, and Hamid Ravaee, “RecuGAN: A novel generative AI approach for synthesizing RF coverage maps,” Proc. of the IEEE International Conference on Computer Communications and Networks (ICCCN) Conference, July 29–31, 2024, Kona (Big Island), Hawaii.

• Arush S. Sharma and Marwan Krunz, "Enhanced RFI detection in imbalanced astronomical observations using weakly supervised GANs,” Proc. of the IEEE ICC Conference - Workshop on Catalyzing Spectrum Sharing via Active-Passive Coexistence, Denver, June 2024.

• Arush Sharma, Marwan Krunz, George Reiland, and Dan Marrone, “Identification of RF interference in astronomical observations using weakly supervised machine learning classifiers,” Proc. of the ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM), Montreal, Canada, Oct. 2023.

• Sopan Sarkar, Hossein Manshaei, and Marwan Krunz, “RADIANCE: Radio-frequency adversarial deep-learning inference for automated network coverage estimation,” Proc. of the IEEE GLOBECOM Conference, 2023.

• Sopan Sarkar, Marwan Krunz, Irmak Aykin, and David Manzi, “Machine learning for robust beam tracking in mobile millimeter-wave systems,” Proc. of the IEEE GLOBECOM Conference, Madrid, Spain, Dec. 2021.

• Mingjie Feng, Berk Akgun, Irmak Aykin, and Marwan Krunz, “Beamwidth optimization for initial access in 5G NR millimeter wave cellular networks,” Proc. of the IEEE ICC 2021 - Next-Generation Networking and Internet Symposium, June 2021.

• Irmak Aykin, Berk Akgun, Mingjie Feng, and Marwan Krunz, “MAMBA: A multi-armed bandit framework for beam tracking in millimeter-wave systems,” Proc. of the IEEE INFOCOM 2020, Online, July 2020 (acceptance rate 19.8%), pp. 1469-1478. [Presentation]

• Berk Akgun, Marwan Krunz, and David Manzi, “Impact of beamforming on delay spread in wideband millimeter-wave systems,” Proc. of the IEEE ICNC 2020 Conference, Big Island, Hawaii, Feb. 2020, pp. 890-896.

• Irmak Aykin, Berk Akgun, and Marwan Krunz, “Smartlink: Exploiting channel clustering effects for reliable millimeter wave communications,” Proc. of the IEEE INFOCOM 2019 Conference, Paris, France, Apr. 2019, pp. 1117-1125 (acceptance rate 19.7%).

• Irmak Aykin and Marwan Krunz, “FastLink: An efficient initial access protocol for millimeter wave systems,” Proc. of the ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2018), Montreal, Canada, Oct. 2018, pp. 109-117. (received Best Paper Award)