Results 21 to 30 of about 45,671 (180)
Aggregated Network for Massive MIMO CSI Feedback
, 2021 In frequency division duplexing (FDD) mode, it is necessary to send the channel state information (CSI) from user equipment to base station. The downlink CSI is essential for the massive multiple-input multiple-output (MIMO) system to acquire the potential gain.
Lu, Zhilin +4 more
openaire +2 more sources
Precoding-oriented Massive MIMO CSI Feedback Design
ICC 2023 - IEEE International Conference on Communications, 2023 6 pages, IEEE ICC ...
Carpi, Fabrizio +5 more
openaire +2 more sources
Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback [PDF]
IEEE Transactions on Wireless Communications, 2021 Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains. In a frequency division duplex (FDD) multiuser massive MIMO network, each user needs to compress and feedback its downlink CSI to the BS.
Mashhadi M. B., Yang Q., Gunduz D.
openaire +5 more sources
Self-attention mechanism-based CSI eigenvector feedback for massive MIMO
Dianxin kexue, 2023 Massive multiple-input multiple-output (MIMO) system can provide satisfying gain of spectrum efficiency for 5G and future wireless communication systems.In frequency-division duplex (FDD) mode, downlink channel state information (CSI) needs to be ...
Bei YANG +4 more
doaj +2 more sources
Deep Learning-Based Implicit CSI Feedback in Massive MIMO [PDF]
IEEE Transactions on Communications, 2022 Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI feedback with limited communication resources in frequency-division duplexing systems is of great importance.
Muhan Chen +5 more
openaire +2 more sources
An overview of the CSI feedback based on deep learning for massive MIMO systems
物联网学报, 2020 The massive multiple-input multiple-output (MIMO) technology is considered to be one of the core technologies of the next generation communication system.To fully utilize the potential gains of MIMO systems,the base station should accurately acquire the ...
Muhan CHEN, Jiajia GUO, Xiao LI, Shi JIN
doaj +2 more sources
IEEE Access, 2019 Because of the time-varying characteristic and the large propagation delay in underwater acoustic (UWA) channel, adaptive resource allocation in UWA orthogonal frequency-division multiplexing access (OFDMA) system cannot be performed with the assumption ...
Gang Qiao, Lei Liu, Lu Ma, Yanling Yin
doaj +1 more source
CSI Feedback Based on Deep Learning for Massive MIMO Systems
IEEE Access, 2019 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 ...
Yong Liao +3 more
doaj +1 more source
Deep Learning for Massive MIMO CSI Feedback [PDF]
IEEE Wireless Communications Letters, 2018 In frequency division duplex mode, the downlink channel state information (CSI) should be sent to the base station through feedback links so that the potential gains of a massive multiple-input multiple-output can be exhibited. However, such a transmission is hindered by excessive feedback overhead.
Chao-Kai Wen, Wan-Ting Shih, Shi Jin
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MIMO Channel Information Feedback Using Deep Recurrent Network [PDF]
, 2018 In a multiple-input multiple-output (MIMO) system, the availability of channel state information (CSI) at the transmitter is essential for performance improvement.
Lu, Chao +4 more
core +2 more sources