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20162026
most citedLearning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels

13 citations · 35 across the 13 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

Column-Wise Analog Processing for Hybrid Precoding in Millimeter Wave Downlink Multi-User Massive MIMO Systems

Yu Zhang, Ziyang Meng, Fangfang Yin

In millimeter wave (mmWave) massive MIMO systems, existing alternating minimization (AltMin) based hybrid digital-analog precoding algorithms can achieve near-optimal spectral effi…

eess.SP2023

Real-World Evaluation of Full-Duplex Millimeter Wave Communication Systems

Ian P. Roberts, Yu Zhang, Tawfik Osman +1

Noteworthy strides continue to be made in the development of full-duplex millimeter wave (mmWave) communication systems, but most of this progress has been built on theoretical mod…

eess.SP2022

Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems

Yu Zhang, Tawfik Osman, Ahmed Alkhateeb

Employing large antenna arrays is a key characteristic of millimeter wave (mmWave) and terahertz communication systems. Due to the hardware constraints and the lack of channel know…

eess.SP2021

Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems

Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb

Employing large antenna arrays is a key characteristic of millimeter wave (mmWave) and terahertz communication systems. However, due to the adoption of fully analog or hybrid analo…

eess.SP20207 cited

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…