CSI Feedback Based on Deep Learning for Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2924673
Abstract: Aiming at the problem of high complexity and low feedback accuracy of existing channel state information (CSI) feedback algorithms for frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, this paper proposes a CSI compression feedback… read more here.
Keywords: mimo; csi feedback; massive mimo; mimo systems ... See more keywords
Eliminating CSI Feedback Overhead via Deep Learning-Based Data Hiding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3180806
Abstract: Channel state information (CSI) plays a crucial role in the capacity of multiple-input and multiple-output systems, but CSI feedback occupies substantial precious transmission resources in frequency-division duplexing (FDD) systems. In this work, we propose a… read more here.
Keywords: feedback overhead; deep learning; csi; data hiding ... See more keywords
Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3221963
Abstract: The increased throughput brought by MIMO technology relies on the knowledge of channel state information (CSI) acquired in the base station (BS). To make the CSI feedback overhead affordable for the evolution of MIMO technology… read more here.
Keywords: csi; end; source channel; channel ... See more keywords
CSI Feedback With Model-Driven Deep Learning of Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3138927
Abstract: In order to achieve reliable communication with a high data rate of massive multiple-input multiple-output (MIMO) systems in frequency division duplex (FDD) mode, the estimated channel state information (CSI) at the receiver needs to be… read more here.
Keywords: mimo systems; massive mimo; driven deep; csi feedback ... See more keywords
Fusion Learning for 1-Bit CS-Based Superimposed CSI Feedback With Bi-Directional Channel Reciprocity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3145099
Abstract: Due to the discarding of downlink channel state information (CSI) amplitude and the employing of iteration reconstruction algorithms, 1-bit compressed sensing (CS)-based superimposed CSI feedback is challenged by low recovery accuracy and large processing delay.… read more here.
Keywords: based superimposed; superimposed csi; csi; feedback ... See more keywords
Joint Sparse Autoencoder Based Massive MIMO CSI Feedback
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3250716
Abstract: In frequency division duplex (FDD) based massive multiple-input multiple-output (MIMO) systems, the channel state information (CSI) feedback overhead could degrade spectrum and energy efficiency. Many works have made great progress in efficient feedback. However, previous… read more here.
Keywords: based massive; csi; feedback; joint sparse ... See more keywords
Sparsity Learning-Based CSI Feedback for FDD Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2020.3038893
Abstract: In frequency-division duplexing mode, accurate channel state information (CSI) needs to be acquired at the base station by feedback from the terminals. However, the costly feedback overhead generated by large-scale arrays poses an arduous challenge… read more here.
Keywords: csi feedback; based csi; mimo systems; learning based ... See more keywords
EVCsiNet: Eigenvector-Based CSI Feedback Under 3GPP Link-Level Channels
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3112747
Abstract: Recently, deep learning based methods have been widely used for wireless communications. In this letter, different from current researches considering full channel state information (F-CSI) feedback, the eigenvector based CSI feedback with deep learning approach… read more here.
Keywords: based csi; eigenvector based; feedback; csi feedback ... See more keywords
TransNet: Full Attention Network for CSI Feedback in FDD Massive MIMO System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3149416
Abstract: Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO) system. It depicts important properties of transmission channels such as scattering, fading, the attenuation of power with distance, etc. The quality and… read more here.
Keywords: fdd massive; system; mimo system; csi feedback ... See more keywords
CVLNet: A Complex-Valued Lightweight Network for CSI Feedback
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3157263
Abstract: The deep learning-based (DL-based) channel state information (CSI) feedback in the frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system has demonstrated its potential and efficiency. However, conventional neural networks cannot fully utilize the complex-valued… read more here.
Keywords: network; valued lightweight; complex valued; csi feedback ... See more keywords
Clustering Algorithm-Based Quantization Method for Massive MIMO CSI Feedback
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3195883
Abstract: Deep learning-based channel state information (CSI) feedback can provide high downlink throughput for massive multiple-input multiple-output (MIMO) system in frequency division duplex mode. The compression and quantization of CSI greatly reduce the feedback overhead. However,… read more here.
Keywords: algorithm based; quantization; clustering algorithm; feedback ... See more keywords