100 citations · 164 across the 20 of their papers we have counts for
20 papers
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…
Sim2Field: End-to-End Development of AI RANs for 6G
Russell Ford, Hao Chen, Pranav Madadi +17
Following state-of-the-art research results, which showed the potential for significant performance gains by applying AI/ML techniques in the cellular Radio Access Network (RAN), t…
Decentralized Interference-Aware Codebook Learning in Millimeter Wave MIMO Systems
Yu Zhang, Ahmed Alkhateeb
Beam codebooks are integral components of the future millimeter wave (mmWave) multiple input multiple output (MIMO) system to relax the reliance on the instantaneous channel state…
Zone-Specific CSI Feedback for Massive MIMO: A Situation-Aware Deep Learning Approach
Yu Zhang, Ahmed Alkhateeb
Massive MIMO basestations, operating with frequency-division duplexing (FDD), require the users to feedback their channel state information (CSI) in order to design the precoding m…
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…
A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems
Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. However, most of the existing codebooks…
Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems
Yu Zhang, Ahmed Alkhateeb
Employing large antenna arrays and utilizing large bandwidth have the potential of bringing very high data rates to future wireless communication systems. However, this brings the…
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…
Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems
Yu Zhang, Shuaifei Chen, Jiayi Zhang
Cell-free massive multiple-input-multiple-output is promising to meet the stringent quality-of-experience (QoE) requirements of railway wireless communications by coordinating many…
Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems
Yu Zhang, Ahmed Alkhateeb, Pranav Madadi +3
Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel…
Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels
Yu Zhang, Ahmed Alkhateeb
Reconfigurable intelligent surfaces (RIS) are expected to play an important role in future wireless communication systems. These surfaces typically rely on their reflection beamfor…
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. Being pre-defined, however, these codeb…
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…
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…
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
This paper considers uplink massive MIMO systems with 1-bit analog-to-digital converters (ADCs) and develops a deep-learning based channel estimation framework. In this framework,…
ADMM Enabled Hybrid Precoding in Wideband Distributed Phased Arrays Based MIMO Systems
Yu Zhang, Yiming Huo, Jinlong Zhan +3
Distributed phased arrays based multiple-input multiple-output (DPA-MIMO) is a recently proposed highly reconfigurable architecture enabling both spatial multiplexing and beamformi…
Channel Estimation and Hybrid Precoding for Distributed Phased Arrays Based MIMO Wireless Communications
Yu Zhang, Yiming Huo, Dongming Wang +2
Distributed phased arrays based multiple-input multiple-output (DPA-MIMO) is a newly introduced architecture that enables both spatial multiplexing and beamforming while facilitati…
An Overview of Transmission Theory and Techniques of Large-scale Antenna Systems for 5G Wireless Communications
Dongming Wang, Yu Zhang, Hao Wei +3
To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent yea…