Channel state information (CSI) prediction has emerged as a promising approach for mitigating channel aging in wireless communication systems. Recently, generative models have been employed to develop CSI prediction frameworks capable of modeling the uncertainty in future channel realizations. However, the high computa...
Mehdi Sattari, Javad Aliakbari, Alexandre Graell I. Amat et al.· 0 citations
In multiple-input multiple-output (MIMO) systems, beamforming is a core enabler for concentrating signal power toward targeted users to enhance spectral efficiency and network capacity. However, realizing the full potential of beamforming critically relies on accurate channel state information (CSI). Conventional CSI a...
Yi-Ning Wang, Ha Nan, Le Zhao et al.· IEEE Wireless Communications...· 0 citations
Fluid antenna systems (FAS) have emerged as a promising paradigm for wireless communications, enabling channel reconfigurability that offers a novel spatial degree of freedom. Nevertheless, efficiently acquiring accurate and high-resolution channel state information (CSI) in FAS remains challenging, primarily due to it...
Xue-Feng Wang, Yu-Hang Li, Yang Lu et al.· IEEE Transactions on Wireles...· 0 citations
Simulations demonstrate that the proposed scheme delivers robust prediction accuracy across diverse mobility scenar-ios, maintains strong performance under limited training data, and exhibits zero-shot cross-scenario generalization, significantly outperforming both conventional and deep learning baselines in TDD and FD...
A novel channel-adaptive neural receiver network (CARNet) based on the mixture-of-experts (MoE) framework, which employs multiple expert networks together with an efficient routing mechanism to enable signal detection in various scenarios.
Chao Jiang, Zhuo Xu, Yongli Yan· 0 citations
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