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eess.SP2026

Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference

Zhuorui Jiang, Jun Fang, Boyu Ning +2

Channel estimation is essential to massive multiple-input multiple-output (MIMO) systems. While recent generative model-based approaches using lightweight diffusion models (DMs) ha…

eess.SP2026

Integrated Channel Estimation and Sensing for Near-Field ELAA Systems via Low-Rank Tensor Decomposition

Jionghui Wang, Jun Fang, Hongbin Li +1

In this paper, we study the problem of uplink channel estimation for near-filed orthogonal frequency division multiplexing (OFDM) systems, where a base station (BS), equipped with…

eess.SP2024

CSI-Free Position Optimization for Movable Antenna Communication Systems: A Black-Box Optimization Approach

Xianlong Zeng, Jun Fang, Bin Wang +2

Movable antenna (MA) is a new technology which leverages local movement of antennas to improve channel qualities and enhance the communication performance. Nevertheless, to fully r…

eess.SP2024

Near/Far-Field Channel Estimation For Terahertz Systems With ELAAs: A Block-Sparse-Aware Approach

Hongwei Wang, Jun Fang, Huiping Duan +1

Millimeter wave/Terahertz (mmWave/THz) communication with extremely large-scale antenna arrays (ELAAs) offers a promising solution to meet the escalating demand for high data rates…

eess.SP2024

Line Spectral Estimation with Unlimited Sensing

Hongwei Wang, Jun Fang, Hongbin Li +1

In the paper, we consider the line spectral estimation problem in an unlimited sensing framework (USF), where a modulo analog-to-digital converter (ADC) is employed to fold the inp…

eess.SP2024

Intelligent Reflecting Surface-Assisted NLOS Sensing With OFDM Signals

Jilin Wang, Jun Fang, Hongbin Li +1

This work addresses the problem of intelligent reflecting surface (IRS) assisted target sensing in a non-line-of-sight (NLOS) scenario, where an IRS is employed to facilitate the r…