过去一年中添加的文章,按日期排序

Downlink CCM Estimation via Representation Learning with Graph Regularization

MC Zerin, E Vural, AÖ Yılmaz - arXiv preprint arXiv:2407.18865, 2024 - arxiv.org
6 天前 - … We consider an FDD single cell massive MIMO system, in which a base station (BS)
containing M antennas forming a uniform linear array (ULA) serves single-antenna user …

Disentangled Representation Learning Empowered CSI Feedback Using Implicit Channel Reciprocity in FDD Massive MIMO

W Xu, J Wu, S Jin, X You, Z Lu - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
14 天前 - … • We propose a DR learning framework based on variational auto-encoder (VAE) …
FDD mMIMO system by exploring the implicit reciprocity between the bi-directional channels. …

ST-TNet: An Spatio-temporal Joint Transformer Network for CSI Feedback in FDD-MIMO Systems

H Jiang - 2024 - researchsquare.com
21 天前 - … excessive CSI feedback overhead in massive MIMO-FDD systems, this paper proposes
a … training techniques for fdd massive mimo systems: openloop and closed-loop training

Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize

Y Ma, H He, S Song, J Zhang, KB Letaief - arXiv preprint arXiv:2406.16323, 2024 - arxiv.org
38 天前 - … 1(a), we consider a single-cell FDD massive MIMO system where the BS is equipped
with Nt antennas and the user is equipped with a single antenna. For ease of illustration, a …

Global-Local Features Reconstruction Network for FDD Massive MIMO CSI Feedback

Y Tan, W Tan, J Guo, Z Shi - IEEE Wireless Communications …, 2024 - ieeexplore.ieee.org
55 天前 - SYSTEM MODEL We consider a single cell FDD massive MIMO system with Nt …
GY Li, “Overview of deep learningbased CSI feedback in massive MIMO systems,” IEEE …

Fast time-varying FDD massive MIMO system with intelligent CSI feedback mechanism

Y Shekar, R Mishra - AIP Conference Proceedings, 2024 - pubs.aip.org
56 天前 - … In order to obtain the parameters in the network, this article uses an end-to-end
training method to obtain all the weights in the learning network. Suppose that the …

On the Downlink Average Energy Efficiency of Non-Stationary XL-MIMO

J Zhang, J Lu, J Zhang, Y Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
64 天前 - … duplexing (FDD) mode, the VR is estimated in uplink training and then the channel
information … Besides, as compared to massive MIMO, preferable channel properties such as …

Multi-Domain Correlation-aided Implicit CSI Feedback using Deep Learning

C Jiang, J Guo, CK Wen, S Jin - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
72 天前 - … This study considers a single-cell massive MIMO system … based on deep learning
for FDD massive MIMO systems,” … learning for CSI prediction in FDD massive MIMO systems,…

Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems

S Daei, M Skoglund, G Fodor - arXiv preprint arXiv:2405.07906, 2024 - arxiv.org
79 天前 - … In this paper, we designed a new approach for downlink channel estimation in FDD
massive MIMO systems in order to reduce the training and feedback overhead. Specifically, …

Spatial Information Aided Joint UL/DL Channel Tracking for Massive MIMO System in HST Environment

Y Zhao, K Zheng, Y Teng, A Liu… - … Vehicular Technology, 2024 - ieeexplore.ieee.org
80 天前 - … of channel parameters into a sparse Bayesian learning (SBL) … channel tracking
problem for FDD massive MIMO systems … We develop a joint UL/DL channel tracking scheme to …