activity
20192023
most citedHybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

22 citations · 30 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IT2023★ 1 cited

Extremely Large-scale Array Systems: Near-Field Codebook Design and Performance Analysis

Feng Zheng, Hongkang Yu, Chenchen Wang +3

Extremely Large-scale Array (ELAA) promises to deliver ultra-high data rates with increased antenna elements. However, increasing antenna elements leads to a wider realm of near-fi…

cs.IT2023★ 1 cited

How Practical Phase-shift Errors Affect Beamforming of Reconfigurable Intelligent Surface?

Jun Yang, Yijian Chen, Yijun Cui +3

Reconfigurable intelligent surface (RIS) is a new technique that is able to manipulate the wireless environment smartly and has been exploited for assisting the wireless communicat…

cs.IT2023

Static IRS Meets Distributed MIMO: A New Architecture for Dynamic Beamforming

Guangji Chen, Qingqing Wu, Celimuge Wu +3

Intelligent reflecting surface (IRS) has been considered as a revolutionary technology to enhance the wireless communication performance. To cater for multiple mobile users, adjust…

eess.SP2022

Distributed and Joint Optimization of Precoding and Power for User-Centric Cell-Free Massive MIMO

Hongkang Yu, Xinquan Ye, Yijian Chen

In the cell-free massive multiple-input multiple-output (CF mMIMO) system, the centralized transmission scheme is widely adopted to manage the inter-user interference. Unfortunatel…

cs.LG2022★ 1 cited

Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions

Haizhou Du, Ryan Yang, Yijian Chen +3

Distributed machine learning (DML) over time-varying networks can be an enabler for emerging decentralized ML applications such as autonomous driving and drone fleeting. However, t…

eess.SP2021★ 22 cited

Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

Qisheng Wang, Xiao Li, Shi Jin +1

In this letter, we investigate the hybrid beamforming based on deep reinforcement learning (DRL) for millimeter Wave (mmWave) multi-user (MU) multiple-input-single-output (MISO) sy…

cs.IT2020★ 5 cited

Efficient Parallel Schemes for Cell-free Massive MIMO Using Radio Stripes

Yihua Ma, Zhifeng Yuan, Guanghui Yu +1

Cell-free massive MIMO provides ubiquitous connectivity for multiple users, and implementation using radio stripes is very efficient. This paper proposes a parallel scheme for radi…

eess.SP2019

Physical Layer Security Enhancement Exploiting Intelligent Reflecting Surface

Keming Feng, Xiao Li, Yu Han +2

In this letter, the use of intelligent reflecting surface (IRS) to enhance the physical layer security of downlink wireless communication is investigated. Assuming a single-antenna…