activity
20112023
most citedIntelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

444 citations · 1.7k across the 86 of their papers we have counts for

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Showing 2021Show all

15 papers · 1 filter

eess.SP2021★ 74 cited

Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems

Boyu Teng, Xiaojun Yuan, Rui Wang +1

In this paper, we study the user localization and tracking problem in the reconfigurable intelligent surface (RIS) aided multiple-input multiple-output (MIMO) system, where a multi…

eess.SP2021

Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels

Chenxi Zhong, Huiyuan Yang, Xiaojun Yuan

With the explosive growth of data and wireless devices, federated learning (FL) over wireless medium has emerged as a promising technology for large-scale distributed intelligent s…

cs.IT2021

Intelligent Reflecting Surface Aided MIMO with Cascaded LoS Links: Channel Modelling and Full Multiplexing Region

Mingchen Zhang, Xiaojun Yuan

This work studies the modelling and the optimization of intelligent reflecting surface (IRS) assisted multiple-input multiple-output (MIMO) systems through cascaded line-of-sight (…

eess.SP2021★ 1 cited

Elevation Angle-Dependent 3D Trajectory Design for Aerial RIS-aided Communication

Yifan Liu, Bin Duo, Qingqing Wu +3

This paper investigates an aerial reconfigurable intelligent surface (RIS)-aided communication system under the probabilistic line-of-sight (LoS) channel, where an unmanned aerial…

cs.LG2021

Over-the-Air Federated Multi-Task Learning

Haoming Ma, Xiaojun Yuan, Dian Fan +3

In this letter, we introduce over-the-air computation into the communication design of federated multi-task learning (FMTL), and propose an over-the-air federated multi-task learni…

eess.SY2021

Full-Dimensional Rate Enhancement for UAV-Enabled Communications via Intelligent Omni-Surface

Yifan Liu, Bin Duo, Qingqing Wu +2

This paper investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS)…

cs.IT2021

Joint Beamforming and Reconfigurable Intelligent Surface Design for Two-Way Relay Networks

Jun Wang, Ying-Chang Liang, Jingon Joung +2

In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted two-way relay network, in which two users exchange information through the base station (BS) with the…

cs.IT2021★ 27 cited

MIMO-OFDM-Based Massive Connectivity With Frequency Selectivity Compensation

Wenjun Jiang, Mingyang Yue, Xiaojun Yuan +1

In this paper, we study how to efficiently and reliably detect active devices and estimate their channels in a multiple-input multiple-output (MIMO) orthogonal frequency-division m…

cs.IT2021★ 7 cited

Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning

Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang

In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system. We introduce a Markovian probability model to characterize the intrinsic te…

cs.IT2021

Sparse Kronecker-Product Coding for Unsourced Multiple Access

Zeyu Han, Xiaojun Yuan, Chongbin Xu +2

In this paper, a sparse Kronecker-product (SKP) coding scheme is proposed for unsourced multiple access. Specifically, the data of each active user is encoded as the Kronecker prod…

cs.IT2021★ 9 cited

Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO

Zhen-Qing He, Hang Liu, Xiaojun Yuan +2

Reconfigurable intelligent surface (RIS) is envisioned to be a promising green technology to reduce the energy consumption and improve the coverage and spectral efficiency of massi…

cs.IT2021★ 1 cited

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

We study over-the-air model aggregation in federated edge learning (FEEL) systems, where channel state information at the transmitters (CSIT) is assumed to be unavailable. We lever…

cs.IT2021★ 4 cited

Reconfigurable Intelligent Surface for Massive Connectivity

Shuhao Xia, Yuanming Shi, Yong Zhou +1

With the rapid development of Internet of Things (IoT), massive machine-type communication has become a promising application scenario, where a large number of devices transmit spo…

cs.IT2021★ 1 cited

Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity

Weifeng Zhu, Meixia Tao, Xiaojun Yuan +1

This paper considers the massive connectivity problem in an asynchronous grant-free random access system, where a huge number of devices sporadically transmit data to a base statio…

cs.IT2021★ 3 cited

Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications

Chang Cai, Xiaojun Yuan, Wenjing Yan +3

In reconfigurable intelligent surfaces (RISs) aided communications, the existing passive beamforming (PB) design involves polynomial complexity in the number of reflecting elements…