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20142026
most citedIntelligent Reflecting Surface Enhanced Wireless Network: Two-timescale Beamforming Optimization

315 citations · 651 across the 34 of their papers we have counts for

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12 papers · 1 filter

eess.SP2025

A Covariance-Surrogate Framework for Movable-Antenna Enabled Anti-Jamming with Unknown Jammers

Lebin Chen, Ming-Min Zhao, Qingqing Wu +2

In this paper, we investigate a movable antenna (MA) enabled anti-jamming optimization problem, where a legitimate uplink system is exposed to multiple jammers with unknown jamming…

eess.SP2024★ 1 cited

Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP

Wenkang Xu, An Liu, Min-jian Zhao

We investigate a joint visibility region (VR) detection and channel estimation problem in extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field p…

eess.SP2023

Joint Location Sensing and Channel Estimation for IRS-Aided mmWave ISAC Systems

Zijian Chen, Ming-Min Zhao, Min Li +3

In this paper, we investigate a self-sensing intelligent reflecting surface (IRS) aided millimeter wave (mmWave) integrated sensing and communication (ISAC) system. Unlike the conv…

eess.SP2023

A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation

Zhixiang Hu, An Liu, Minjian Zhao

Future wireless networks are envisioned to provide ubiquitous sensing services, which also gives rise to a substantial demand for high-dimensional non-convex parameter estimation,…

eess.SP2023★ 3 cited

Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation

Wenkang Xu, An Liu, Bingpeng Zhou +1

For many practical applications in wireless communications, we need to recover a structured sparse signal from a linear observation model with dynamic grid parameters in the sensin…

eess.SP2023

Joint Scattering Environment Sensing and Channel Estimation for Integrated Sensing and Communication

Wenkang Xu, Yongbo Xiao, An Liu +1

This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…

eess.SP2023

Joint Scattering Environment Sensing and Channel Estimation Based on Non-stationary Markov Random Field

Wenkang Xu, Yongbo Xiao, An Liu +2

This paper considers an integrated sensing and communication system, where some radar targets also serve as communication scatterers. A location domain channel modeling method is p…

eess.SP2022

Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design

Yanzhen Liu, Yunlong Cai, An Liu +2

Mobile edge computing (MEC) and millimeter wave (mmWave) communications are capable of significantly reducing the network's delay and enhancing its capacity. In this paper we inves…

eess.SP2022

A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference

Zhixiang Hu, An Liu, Yubo Wan +2

Multiband fusion enhances WiFi sensing by jointly utilizing signals from multiple non-contiguous frequency bands. However, in the multi-band WiFi sensing signal model, there are ma…

eess.SP2020★ 2 cited

Robust Adaptive Beam Tracking for Mobile Millimetre Wave Communications

Chunshan Liu, Min Li, Lou Zhao +4

Millimetre wave (mmWave) beam tracking is a challenging task because tracking algorithms are required to provide consistent high accuracy with low probability of loss of track and…

eess.SP2019★ 2 cited

Angular-Domain Selective Channel Tracking and Doppler Compensation for High-Mobility mmWave Massive MIMO

Guanying Liu, An Liu, Rui Zhang +1

In this paper, we consider a mmWave massive multiple-input multiple-output (MIMO) communication system with one static base station (BS) serving a fast-moving user, both equipped w…

eess.SP2019★ 2 cited

Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems

Chang Tian, An Liu, Mahdi Barzegar Khalilsarai +3

We propose a novel randomized channel sparsifying hybrid precoding (RCSHP) design to reduce the signaling overhead of channel estimation and the hardware cost and power consumption…