100 citations · 164 across the 20 of their papers we have counts for
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Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware
Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb
Millimeter wave (mmWave) and massive MIMO systems are intrinsic components of 5G and beyond. These systems rely on using beamforming codebooks for both initial access and data tran…
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation
Abdelrahman Taha, Yu Zhang, Faris B. Mismar +1
The promising coverage and spectral efficiency gains of intelligent reflecting surfaces (IRSs) are attracting increasing interest. In order to realize these surfaces in practice, h…
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Scaling the number of antennas up is a key characteristic of current and future wireless communication systems. The hardware cost and power consumption, however, motivate large-sca…