activity
20062026
most citedThroughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer

384 citations · 619 across the 23 of their papers we have counts for

collaborators

24 papers

eess.SP2026

Antenna Elements' Trajectory Optimization for Throughput Maximization in Continuous-Trajectory Fluid Antenna-Aided Wireless Communications

Shuaixin Yang, Yijia Li, Yue Xiao +4

Fluid antenna (FA) systems offer novel spatial degrees of freedom (DoFs) with the potential for significant performance gains. Compared to existing works focusing solely on optimiz…

cs.IT2025

Introducing Meta-Fiber into Stacked Intelligent Metasurfaces for MIMO Communications: A Low-Complexity Design with only Two Layers

Hong Niu, Jiancheng An, Tuo Wu +8

Stacked intelligent metasurfaces (SIMs), which integrate multiple programmable metasurface layers, have recently emerged as a promising technology for advanced wave-domain signal p…

eess.SP2025

Robust Beamforming Design for STAR-RIS Aided RSMA Network with Hardware Impairments

Ziyue Wang, Xiaoyan Ma, Xingyu Peng +4

In this article, we investigate the robust beamforming design for a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided downlink rate-split…

eess.SP2025

A Novel Angle-Delay-Doppler Estimation Scheme for AFDM-ISAC System in Mixed Near-field and Far-field Scenarios

Yirui Luo, Yong Liang Guan, Yao Ge +2

The recently proposed multi-chirp waveform, affine frequency division multiplexing (AFDM), is considered as a potential candidate for integrated sensing and communication (ISAC). H…

eess.SP2025

Target Sensing With Off-grid Sparse Bayesian Learning for AFDM-ISAC System

Yirui Luo, Yong Liang Guan, Yao Ge +1

The recently proposed multi-chirp waveform, affine frequency division multiplexing (AFDM), is regarded as a prospective candidate for integrated sensing and communication (ISAC) du…

eess.SP2024★ 32 cited

Rydberg Atomic Quantum Receivers for Classical Wireless Communication and Sensing

Tierui Gong, Aveek Chandra, Chau Yuen +5

The Rydberg atomic quantum receivers (RAQR) are emerging quantum precision sensing platforms designed for receiving radio frequency (RF) signals. It relies on creation of Rydberg a…

cs.IT2024

Design and Analysis of Massive Uncoupled Unsourced Random Access with Bayesian Joint Decoding

Feiyan Tian, Xiaoming Chen, Yong Liang Guan +1

In this paper, we investigate unsourced random access for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks. Firstly, we establish a high-ef…

cs.IT2023★ 1 cited

Stacked Intelligent Metasurface Performs a 2D DFT in the Wave Domain for DOA Estimation

Jiancheng An, Chau Yuen, Marco Di Renzo +3

Staked intelligent metasurface (SIM) based techniques are developed to perform two-dimensional (2D) direction-of-arrival (DOA) estimation. In contrast to the conventional designs,…

eess.SP2023★ 1 cited

AFDM vs OTFS: A Comparative Study of Promising Waveforms for ISAC in Doubly-Dispersive Channels

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Junil Choi +4

**PLEASE FIND THE FULL EXTENDED ARTICLE "From OTFS to AFDM: A Comparative Study of Next-Generation Waveforms for ISAC in Doubly-Dispersive Channels" (Accepted for publication at th…

cs.RO2023★ 24 cited

Exploiting Radio Fingerprints for Simultaneous Localization and Mapping

Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail +6

Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments,…

cs.LG2023

A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting

Zann Koh, Yan Qin, Yong Liang Guan +1

The ability to predict traffic flow over time for crowded areas during rush hours is increasingly important as it can help authorities make informed decisions for congestion mitiga…

cs.LG2023★ 1 cited

Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction

Yan Qin, Yong Liang Guan, Chau Yuen

Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy consumption, and traffic efficiency can be significantly improved. An accurate vehicle trajector…

cs.AI2022

Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing

Shaoyang Wang, Chau Yuen, Wei Ni +2

This paper proposes an effective and novel multiagent deep reinforcement learning (MADRL)-based method for solving the joint virtual network function (VNF) placement and routing (P…

cs.NI2022

Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks

Bo Yang, Xuelin Cao, Chongwen Huang +6

Increasing concerns on intelligent spectrum sensing call for efficient training and inference technologies. In this paper, we propose a novel federated learning (FL) framework, dub…

cs.IT2021★ 3 cited

Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework

Yuhao Chi, Lei Liu, Guanghui Song +3

Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly focused on Gaussian signaling, independent and identically distributed (IID) channels, and a limited number…

cs.IT2017★ 5 cited

Overcoming Endurance Issue: UAV-Enabled Communications with Proactive Caching

Xiaoli Xu, Yong Zeng, Yong Liang Guan +1

Wireless communication enabled by unmanned aerial vehicles (UAVs) has emerged as an appealing technology for many application scenarios in future wireless systems. However, the lim…

cs.IT2017

V2X Content Distribution Based on Batched Network Coding with Distributed Scheduling

Yumeng Gao, Xiaoli Xu, Yong Liang Guan +1

Content distribution is an application in intelligent transportation system to assist vehicles in acquiring information such as digital maps and entertainment materials. In this pa…

cs.IT2016★ 38 cited

Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems

Lei Liu, Chau Yuen, Yong Liang Guan +1

This paper considers a Iterative Linear Minimum Mean Square Error (LMMSE) detection for the uplink Multiuser Multiple-Input and Multiple-Output (MU-MIMO) systems with Non-Orthogona…

cs.IT2016★ 38 cited

Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems

Lei Liu, Chau Yuen, Yong Liang Guan +1

This paper considers a iterative Linear Minimum Mean Square Error (LMMSE) detection for the uplink Multiuser Multiple-Input and Multiple-Output (MU-MIMO) systems with Non-Orthogona…

cs.IT2014★ 384 cited

Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer

Gang Yang, Chin Keong Ho, Rui Zhang +1

This paper studies a wireless-energy-transfer (WET) enabled massive multiple-input-multiple-output (MIMO) system (MM) consisting of a hybrid data-and-energy access point (H-AP) and…

cs.IT2011★ 34 cited

Block-Orthogonal Space-Time Code Structure and Its Impact on QRDM Decoding Complexity Reduction

Tian Peng Ren, Yong Liang Guan, Chau Yuen +1

Full-rate space time codes (STC) with rate = number of transmit antennas have high multiplexing gain, but high decoding complexity even when decoded using reduced-complexity decode…

cs.IT2011★ 14 cited

Optimization of Fast-Decodable Full-Rate STBC with Non-Vanishing Determinants

Tian Peng Ren, Yong Liang Guan, Chau Yuen +2

Full-rate STBC (space-time block codes) with non-vanishing determinants achieve the optimal diversity-multiplexing tradeoff but incur high decoding complexity. To permit fast decod…

cs.IT2010★ 28 cited

Group-Decodable Space-Time Block Codes with Code Rate > 1

Tian Peng Ren, Yong Liang Guan, Chau Yuen +2

High-rate space-time block codes (STBC with code rate > 1) in multi-input multi-output (MIMO) systems are able to provide both spatial multiplexing gain and diversity gain, but hav…

cs.IT2006★ 16 cited

Single-Symbol-Decodable Differential Space-Time Modulation Based on QO-STBC

Chau Yuen, Yong Liang Guan, Tjeng Thiang Tjhung

We present a novel differential space-time modulation (DSTM) scheme that is single-symbol decodable and can provide full transmit diversity. It is the first known singlesymbol- dec…