11 citations · 32 across the 5 of their papers we have counts for
5 papers
UAV Swarm-Enabled Aerial Reconfigurable Intelligent Surface
Bodong Shang, Rubayet Shafin, Lingjia Liu
Reconfigurable intelligent surface (RIS) offers tremendous spectrum and energy efficiency in wireless networks by adjusting the amplitudes and/or phases of passive reflecting eleme…
CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems
Tarun Cousik, Rubayet Shafin, Zhou Zhou +3
The concept of CogRF, a novel tunable radio frequency (RF) frontend that uses artificial intelligence (AI) to meet mission requirements for beyond 5G and 6G systems, is introduced.…
Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
Rubayet Shafin, Lingjia Liu, Vikram Chandrasekhar +4
Mobile Network Operators (MNOs) are in process of overlaying their conventional macro cellular networks with shorter range cells such as outdoor pico cells. The resultant increase…
Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization
Rubayet Shafin, Hao Chen, Young Han Nam +6
Beamforming in multiple input multiple output (MIMO) systems is one of the key technologies for modern wireless communication. Creating appropriate sector-specific broadcast beams…
Multi-Cell Multi-User Massive FD-MIMO: Downlink Precoding and Throughput Analysis
Rubayet Shafin, Lingjia Liu
In this paper, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex (TDD) multi-cell multi-user massive Full-Dimension MIMO (FD-MIMO) n…