238 citations · 802 across the 40 of their papers we have counts for
5 papers · 1 filter
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…
Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed high dimensional feature mapping and trained readout weights. In this paper, we introduce a…
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…
Content-Aware User Association and Multi-User MIMO Beamforming over Mobile Edge Caching
Susanna Mosleh, Qiang Fan, Lingjia Liu +3
Mobile edge caching (MEC) has been introduced to support ever-growing end-users' needs. To reduce the backhaul traffic demand and content delivery latency, cache-enabled edge serve…