4 citations · 17 across the 42 of their papers we have counts for
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HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanova
Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. Howev…
Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications
Akanksha Sneh, Sumit Darak, Shobha Sundar Ram +1
Multi-arm bandit (MAB) algorithms have been used to learn optimal beams for millimeter wave communication systems. Here, the complexity of learning the optimal beam linearly scales…
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
Debamita Ghosh, Manjesh K. Hanawal, Nikola Zlatanov
We study wireless power transmission by an energy source to multiple energy harvesting nodes with the aim to maximize the energy efficiency. The source transmits energy to the node…
Distributed Learning Algorithms for Opportunistic Spectrum Access in Infrastructure-less Networks
Rohit Kumar, Sumit J. Darak, Manjesh K. Hanawal +1
An opportunistic spectrum access (OSA) for the infrastructure-less (or cognitive ad-hoc) network has received significant attention thanks to emerging paradigms such as the Interne…
Learning to Coordinate in a Decentralized Cognitive Radio Network in Presence of Jammers
Suneet Sawant, Rohit Kumar, Manjesh K. Hanawal +1
Efficient utilization of licensed spectrum in the cognitive radio network is challenging due to lack of coordination among the Secondary Users (SUs). Distributed algorithms propose…