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Xinyu Gao
Xinyu Gao
Department of Electronic Engineering, Tsinghua University
Bestätigte E-Mail-Adresse bei mails.tsinghua.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays
X Gao, L Dai, S Han, I Chih-Lin, RW Heath
IEEE Journal on Selected Areas in Communications 34 (4), 998-1009, 2016
10412016
Low-complexity soft-output signal detection based on Gauss–Seidel method for uplink multiuser large-scale MIMO systems
L Dai, X Gao, X Su, S Han, I Chih-Lin, Z Wang
IEEE Transactions on Vehicular Technology 64 (10), 4839-4845, 2014
2902014
Near-optimal beam selection for beamspace mmWave massive MIMO systems
X Gao, L Dai, Z Chen, Z Wang, Z Zhang
IEEE Communications Letters 20 (5), 1054-1057, 2016
2862016
Reliable beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array
X Gao, L Dai, S Han, I Chih-Lin, X Wang
IEEE Transactions on Wireless Communications 16 (9), 6010-6021, 2017
2382017
Low RF-complexity technologies to enable millimeter-wave MIMO with large antenna array for 5G wireless communications
X Gao, L Dai, AM Sayeed
IEEE Communications Magazine 56 (4), 211-217, 2018
2212018
Fast channel tracking for terahertz beamspace massive MIMO systems
X Gao, L Dai, Y Zhang, T Xie, X Dai, Z Wang
IEEE Transactions on Vehicular Technology 66 (7), 5689-5696, 2016
2212016
Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems
X Gao, L Dai, Y Sun, S Han, I Chih-Lin
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
1592017
Low‐complexity near‐optimal signal detection for uplink large‐scale MIMO systems
X Gao, L Dai, Y Ma, Z Wang
Electronics letters 50 (18), 1326-1328, 2014
1352014
Matrix inversion-less signal detection using SOR method for uplink large-scale MIMO systems
X Gao, L Dai, Y Hu, Z Wang, Z Wang
2014 IEEE Global Communications Conference, 3291-3295, 2014
1192014
Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems
L Dai, X Gao, J Quan, S Han, I Chih-Lin
2015 IEEE International Conference on Communications (ICC), 1334-1339, 2015
1122015
Wideband beamspace channel estimation for millimeter-wave MIMO systems relying on lens antenna arrays
X Gao, L Dai, S Zhou, AM Sayeed, L Hanzo
IEEE Transactions on Signal Processing 67 (18), 4809-4824, 2019
1012019
Turbo-like beamforming based on tabu search algorithm for millimeter-wave massive MIMO systems
X Gao, L Dai, C Yuen, Z Wang
IEEE Transactions on Vehicular Technology 65 (7), 5731-5737, 2015
932015
Low-complexity MMSE signal detection based on Richardson method for large-scale MIMO systems
X Gao, L Dai, C Yuen, Y Zhang
2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 1-5, 2014
792014
Low-complexity SSOR-based precoding for massive MIMO systems
T Xie, L Dai, X Gao, X Dai, Y Zhao
IEEE Communications Letters 20 (4), 744-747, 2016
622016
Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO
T Xie, L Dai, X Gao, MZ Shakir, J Li
China Communications 15 (5), 229-238, 2018
612018
Beamspace precoding and beam selection for wideband millimeter-wave MIMO relying on lens antenna arrays
W Shen, X Bu, X Gao, C Xing, L Hanzo
IEEE Transactions on Signal Processing 67 (24), 6301-6313, 2019
512019
Beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array
L Dai, X Gao, S Han, I Chih-Lin, X Wang
2016 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2016
512016
Low-complexity signal detection for large-scale MIMO in optical wireless communications
X Gao, L Dai, Y Hu, Y Zhang, Z Wang
IEEE Journal on Selected Areas in Communications 33 (9), 1903-1912, 2015
432015
Capacity-approaching linear precoding with low-complexity for large-scale MIMO systems
X Gao, L Dai, J Zhang, S Han, I Chih-Lin
2015 IEEE International Conference on Communications (ICC), 1577-1582, 2015
422015
Machine learning empowered resource allocation in IRS aided MISO-NOMA networks
X Gao, Y Liu, X Liu, L Song
IEEE Transactions on Wireless Communications 21 (5), 3478-3492, 2021
372021
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