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20162025
most citedChannel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

725 citations · 2.2k across the 92 of their papers we have counts for

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22 papers · 1 filter

eess.SP2023★ 1 cited

Online Resource Allocation for Semantic-Aware Edge Computing Systems

Yihan Cang, Ming Chen, Zhaohui Yang +4

In this paper, we propose a semantic-aware joint communication and computation resource allocation framework for MEC systems. In the considered system, random tasks arrive at each…

eess.SP2023★ 1 cited

A Transmit-Receive Parameter Separable Electromagnetic Channel Model for LoS Holographic MIMO

Tierui Gong, Chongwen Huang, Jiguang He +3

To support the extremely high spectral efficiency and energy efficiency requirements, and emerging applications of future wireless communications, holographic multiple-input multip…

eess.SP2023★ 1 cited

Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

Zhaoyuan Shi, Huabing Lu, Xianzhong Xie +4

An active reconfigurable intelligent surface (RIS)-aided multi-user downlink communication system is investigated, where non-orthogonal multiple access (NOMA) is employed to improv…

eess.SP2023★ 78 cited

Holographic MIMO Communications with Arbitrary Surface Placements: Near-Field LoS Channel Model and Capacity Limit

Tierui Gong, Li Wei, Chongwen Huang +4

Envisioned as one of the most promising technologies, holographic multiple-input multiple-output (H-MIMO) recently attracts notable research interests for its great potential in ex…

eess.SP2023

From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE

Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen +3

In this paper, we propose an innovative learning-based channel prediction scheme so as to achieve higher prediction accuracy and reduce the requirements of huge amounts and strict…

eess.SP2023

Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks

Mengbing Liu, Chongwen Huang, Marco Di Renzo +2

Reconfigurable intelligent surface (RIS) is considered as a promising solution for next-generation wireless communication networks due to a variety of merits, e.g., customizing the…

eess.SP2022★ 312 cited

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Tierui Gong, Panagiotis Gavriilidis, Ran Ji +7

Future wireless systems are envisioned to create an endogenously holography-capable, intelligent, and programmable radio propagation environment, that will offer unprecedented capa…

eess.SP2022

Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC

Zhaoji Zhang, Qinghua Guo, Ying Li +2

Tailor-made for massive connectivity and sporadic access, grant-free random access has become a promising candidate access protocol for massive machine-type communications (mMTC).…

eess.SP2022★ 4 cited

Deep Learning-Based Channel Estimation for Double-RIS Aided Massive MIMO System

Mengbing Liu, Xin Li, Boyu Ning +3

Reconfigurable Intelligent Surface (RIS) is considered as an energy-efficient solution for future wireless communication networks due to its fast and low-cost configuration. In thi…

eess.SP2022

Reconfigurable Intelligent Computational Surfaces: When Wave Propagation Control Meets Computing

Bo Yang, Xuelin Cao, Jindan Xu +6

The envisioned sixth-generation (6G) of wireless networks will involve an intelligent integration of communications and computing, thereby meeting the urgent demands of diverse app…

eess.SP2022★ 46 cited

Environment Sensing Considering the Occlusion Effect: A Multi-View Approach

Xin Tong, Zhaoyang Zhang, Yihan Zhang +4

In this paper, we consider the problem of sensing the environment within a wireless cellular framework. Specifically, multiple user equipments (UEs) send sounding signals to one or…

eess.SP2022

Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning

Xiaodan Shao, Lei Cheng, Xiaoming Chen +2

This paper investigates a reconfigurable intelligent surface (RIS)-aided unsourced random access (URA) scheme for the sixth-generation (6G) wireless networks with massive sporadic…

eess.SP2022★ 57 cited

Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI

Wen Wang, Wanli Ni, Hui Tian +3

This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In…

eess.SP2022

Deep Reinforcement Learning Based on Location-Aware Imitation Environment for RIS-Aided mmWave MIMO Systems

Wangyang Xu, Jiancheng An, Chongwen Huang +2

Reconfigurable intelligent surface (RIS) has recently gained popularity as a promising solution for improving the signal transmission quality of wireless communications with less h…

eess.SP2021

C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction

Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang +3

In this paper, we aim to efficiently and accurately predict the static channel impulse response (CIR) with only the user's position information and a set of channel instances obtai…

eess.SP2021★ 2 cited

Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity

Xin Tong, Zhaoyang Zhang, Jue Wang +2

As a potential technology feature for 6G wireless networks, the idea of sensing-communication integration requires the system not only to complete reliable multi-user communication…

eess.SP2021

Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks

Bo Yang, Xuelin Cao, Chongwen Huang +6

In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to l…

eess.SP2021

Intelligent Spectrum Learning for Wireless Networks with Reconfigurable Intelligent Surfaces

Bo Yang, Xuelin Cao, Chongwen Huang +3

Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, which is capable of reflecting the desired sign…

eess.SP2021★ 16 cited

Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design

Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos +5

Wireless communication in the TeraHertz band (0.1--10 THz) is envisioned as one of the key enabling technologies for the future sixth generation (6G) wireless communication systems…

eess.SP2020★ 3 cited

Beamforming Design for Multiuser Transmission Through Reconfigurable Intelligent Surface

Zhaohui Yang, Wei Xu, Chongwen Huang +2

This paper investigates the problem of resource allocation for multiuser communication networks with a reconfigurable intelligent surface (RIS)-assisted wireless transmitter. In th…

eess.SP2020★ 9 cited

Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method

Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos +4

Wireless communication in the TeraHertz band (0.1--10 THz) is envisioned as one of the key enabling technologies for the future six generation (6G) wireless communication systems.…

eess.SP2020★ 9 cited

Dense Small Satellite Networks for Modern Terrestrial Communication Systems: Benefits, Infrastructure, and Technologies

Naveed UL Hassan, Chongwen Huang, Chau Yuen +2

Dense small satellite networks (DSSN) in low earth orbits (LEO) can benefit several mobile terrestrial communication systems (MTCS). However, the potential benefits can only be ach…