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2019
IEEE Wireless Communications Letters
Maity 1563 Multi-Ring Time Shifted Pilots for Full-Duplex Massive MIMO Systems . . . . . . ...
Tsiftsis 1644 FCFGS-CV-Based Channel Estimation for Wideband mmWave Massive MIMO Systems With Low-Resolution ADCs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lwc.2019.2952684
fatcat:humartsc35ctvkmzh422hieidy
Channel Estimation via Model and Learning for Monostatic Multiantenna Backscatter Communication
2021
IEEE Access
INDEX TERMS Backscatter communication, channel estimation, deep learning, linear minimum mean square error, multiple antennas ...
After deriving the linear MMSE (LMMSE) estimator of the backscatter channel in the generalized fading model, we propose learning-based estimators based on the fast and flexible convolutional neural network ...
On the other hand, deep denoising networks based on convolutional neural networks (CNNs) have been applied for channel estimation in various wireless communication systems [26] - [30] . ...
doi:10.1109/access.2021.3134961
fatcat:xvj2umg6ljhgnhoj3sfvmuhfhy
2019 Index IEEE Wireless Communications Letters Vol. 8
2019
IEEE Wireless Communications Letters
., +, LWC June 2019 881-884
Deep Learning-Based Channel Estimation for Massive MIMO Systems. ...
., +, LWC June 2019 665-668
Deep Learning-Based Channel Estimation and Equalization Scheme for
FBMC/OQAM Systems. ...
doi:10.1109/lwc.2019.2961756
fatcat:bwxehcl4ejew7a6m66prb6s4z4
2018 IndexIEEE Wireless Communications LettersVol. 7
2018
IEEE Wireless Communications Letters
., +, LWC Oct. 2018 736-739 Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. ...
Tang, J., +, LWC Aug. 2018 630-633 Message passing Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. ...
doi:10.1109/lwc.2018.2888676
fatcat:olfvetmkt5bt3c572e5y76b5pm
Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey
2019
Electronics
Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. ...
The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging ...
The obtained relation can be used at the receiver for the detection of unknown transmitted information. A deep-learning-based algorithm was proposed for a communication system. ...
doi:10.3390/electronics8020129
fatcat:m7vootfm5fh77omdwjcbj5alvq
Table of contents
2021
IEEE Wireless Communications Letters
Wenbo Guo, Changqing Song, Xiangjie Xia, Fu Hu, Hongzhi Zhao, Shihai Shao, and Youxi Tang 335 Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications . . . . . . . . . ...
CV-3DCNN: Complex-Valued Deep Learning for CSI Prediction in FDD Massive MIMO Systems . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lwc.2021.3051820
fatcat:zuzpvqbcprgyfewjixdbz6t4hm
Table of Contents
2022
IEEE Wireless Communications Letters
Leligou 106 Deep Learning LMMSE Joint Channel, PN, and IQ Imbalance Estimator for Multicarrier MIMO Full-Duplex Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Hamed Tadayyoni, Maryam Haghighi Ardakani, Ali Reza Heidarpour, and Murat Uysal 178 Deep Learning-Based Transmit Power Control for Device Activity Detection and Channel Estimation in Massive Access . . ...
doi:10.1109/lwc.2021.3134035
fatcat:5gjopy5vb5bt3ih4qq4hihijaa
Large-Scale Wireless-Powered Networks with Backscatter Communications – A Comprehensive Survey
2020
IEEE Open Journal of the Communications Society
Therefore, backscatter communication is a key facilitator for low-rate, low-power and large-scale wireless communication systems with EH. ...
INDEX TERMS Backscatter communication systems, wireless-powered networks, large-scale communication systems, IoT networks, and massive machine type communications. both technical and theoretical perspectives ...
Besides, channel coding algorithms based on deep learning can be well adopted in large-scale WPN-BCs. ...
doi:10.1109/ojcoms.2020.3012466
fatcat:jlsmjscegzcb5kutdh4lna6khu
2021 Index IEEE Transactions on Wireless Communications Vol. 20
2021
IEEE Transactions on Wireless Communications
The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TWC Aug. 2021 5018-On Blind Channel Estimation in Full-Duplex Wireless Relay Systems. 5033 Muranov, K., +, TWC July 2021 4685-4701 Deep Reinforcement Learning for Joint Channel Selection and Power ...
., +, TWC Oct. 2021 6467-6480 On Blind Channel Estimation in Full-Duplex Wireless Relay Systems. ...
doi:10.1109/twc.2021.3135649
fatcat:bgd3vzb7pbee7jp75dnbucihmq
A Survey of 6G Wireless Communications: Emerging Technologies
[article]
2020
arXiv
pre-print
visible light communications, Blockchain-enabled wireless network, advanced duplex and holographic radio. ...
band, higher transmission rate, spectrum efficiency, greater connection capacity, shorter delay, wider coverage and stronger anti-interference capability, so as to meet the various network requirements for ...
Supervised learning techniques can be used in both physical layer and network layer. In physical layer, we can utilize supervised learning for channel states estimation, channel decoding, etc. ...
arXiv:2004.08549v3
fatcat:vimdhjmycjcbdhab4c5ncdsbva
Table of contents
2021
IEEE Wireless Communications Letters
Yang, Chao Xu, and Fan Jiang 2757 On Deep Learning Assisted Self-Interference Estimation in a Full-Duplex Relay Link . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Changsheng You and Rui Zhang 2659 Joint Blind Channel Estimation, Channel Equalization, and Data Detection for Underwater Visible Light Communication Systems . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lwc.2021.3126353
fatcat:r7cbsea5cffoxacqithmo744zu
Table of contents
2020
IEEE Communications Letters
Alouini 2775 Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems ........... X. Yi and C. ...
Kothari 2761 Sparse Bayesian Learning of Delay-Doppler Channel for OTFS System ............. L. Zhao, W.-J. Gao, and W. ...
doi:10.1109/lcomm.2020.3039077
fatcat:7rqivq4brrdnzbfigpbhocroau
Non-Coherent and Backscatter Communications: Enabling Ultra-Massive Connectivity in the Era Beyond 5G
[article]
2020
arXiv
pre-print
the amalgamation of non-coherent and backscatter communications (BsC). ...
light communications (VLC), quantum-assisted communications, reconfigurable large intelligent surfaces (RLIS), non-orthogonal multiple access (NOMA), and machine learning (ML)-aided intelligent networks ...
Also, the article [39] has investigated the combination of full duplex and NOMA for cloud RAN-based 5G communication systems. ...
arXiv:2005.10937v3
fatcat:nsyufug2dbbvzeribg4bgymyfa
Table of contents
2021
IEEE Wireless Communications Letters
Bowen Wang, Yunlong Wang, Xinyou Qiu, and Yuan Shen 1014 Power Control for a URLLC-Enabled UAV System Incorporated With DNN-Based Channel Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Chambers 1036 Deep-Learning-Based Blind Recognition of Channel Code Parameters Over Candidate Sets Under AWGN and Multi-Path Fading Conditions . . . . . . . . . . . . . . . . . . ...
doi:10.1109/lwc.2021.3074838
fatcat:cubrzihqdrhojjrbbo6ggufnqi
2020 Index IEEE Transactions on Vehicular Technology Vol. 69
2020
IEEE Transactions on Vehicular Technology
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex ...
Shan, H., Song, M., Zhuang, W., Xiang, Z., Wu, Y., and Yu, X., A Joint Design of Platoon Communication and Control Based on LTE-V2V; 15893-15907 Hong, C.S., see Nguyen, M.N.H., TVT May 2020 5618-5633 ...
., TVT June 2020 6348-6358 A Pointer Network Based Deep Learning Algorithm for User Pairing in Full-Duplex Wi-Fi Networks. ...
doi:10.1109/tvt.2021.3055470
fatcat:536l4pgnufhixneoa3a3dibdma
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