activity
20092023
most citedMIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation

426 citations · 874 across the 23 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.IT2021★ 20 cited

Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces

Ruya Zhou, Xiangyu Chen, Wankai Tang +5

A reconfigurable intelligent surface (RIS) is capable of manipulating electromagnetic waves with its flexibly configurable unit cells, thus is an appealing technology to resist fas…

cs.IT2021★ 1 cited

Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems

Xi Yang, Shi Jin, Geoffrey Ye Li +1

Even if massive multiple-input multiple-output (MIMO) can theoretically bring huge benefits, it incurs substantial hardware complexity and expensive hardware costs. To address thes…

cs.IT2021★ 53 cited

Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave Systems

Weicong Chen, Chao-Kai Wen, Xiao Li +1

In strong line-of-sight millimeter-wave (mmWave) wireless systems, the rank-deficient channel severely hampers spatial multiplexing. To address this inherent deficiency, multiple r…

cs.IT2021

Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems

Jie Yang, Chao-Kai Wen, Shi Jin +1

Simultaneous localization and mapping (SLAM) during communication is emerging. This technology promises to provide information on propagation environments and transceivers' locatio…

cs.IT2021

3-D Deployment of UAV Swarm for Massive MIMO Communications

Ning Gao, Xiao Li, Shi Jin +1

We consider the uplink transmission between a multi-antenna ground station and an unmanned aerial vehicle (UAV) swarm. The UAVs are assumed as intelligent agents, which can explore…

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.IT2021★ 84 cited

Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems

Jinghe Wang, Wankai Tang, Yu Han +5

Future wireless communication networks are expected to fulfill the unprecedented performance requirements to support our highly digitized and globally data-driven society. Various…