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   Articles with "csi feedback" as a keyword



CSI Feedback Based on Deep Learning for Massive MIMO Systems

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recommendations! 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

Geospatial Multi-User Channel Condition Interpolation for Instantaneous Sporadic Transmission and CSI Feedback Overhead Reduction in 5G and Beyond

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3515286

Abstract: Next-generation networks look for innovative solutions to enable new service functionalities while increasing the system efficiency. This paper proposes an innovative approach for the instantaneous transmission of sporadic user traffic and Channel State Information (CSI)… read more here.

Keywords: csi feedback; feedback overhead; performance; interpolation ... See more keywords

Eliminating CSI Feedback Overhead via Deep Learning-Based Data Hiding

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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
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Sparsity Learning-Based CSI Feedback for FDD Massive MIMO Systems

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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