13 citations · 21 across the 20 of their papers we have counts for
5 papers · 1 filter
CovNet: Covariance Information-Assisted CSI Feedback for FDD Massive MIMO Systems
Jialin Zhuang, Xuan He, Yafei Wang +2
In this paper, we propose a novel covariance information-assisted channel state information (CSI) feedback scheme for frequency-division duplex (FDD) massive multi-input multi-outp…
A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity
Hongwei Hou, Yafei Wang, Yiming Zhu +4
In moderate- to high-mobility scenarios, CSI varies rapidly and becomes temporally non-stationary, leading to severe performance degradation in the massive MIMO transmissions. To a…
Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding
Jiaqi Fang, Yan Liang, Gangle Sun +4
The unsourced random access (URA) has emerged as a viable scheme for supporting the massive machine-type communications (mMTC) in the sixth generation (6G) wireless networks. Notab…
Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework
Yafei Wang, Hongwei Hou, Xinping Yi +2
In this paper, we propose a unified framework based on equivariance for the design of artificial intelligence (AI)-assisted technologies in multi-user multiple-input-multiple-outpu…
Robust Symbol-Level Precoding for Massive MIMO Communication Under Channel Aging
Yafei Wang, Xinping Yi, Hongwei Hou +2
This paper investigates the robust design of symbol-level precoding (SLP) for multiuser multiple-input multiple-output (MIMO) downlink transmission with imperfect channel state inf…