On the Implementation and Placement of Hybrid Beamforming for Single and Multiple Users in the Massive-MIMO MmWave Systems

[1]  Wei Yu,et al.  Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays , 2017, IEEE Journal on Selected Areas in Communications.

[2]  Ying Liu,et al.  Prospective Positioning Architecture and Technologies in 5G Networks , 2017, IEEE Network.

[3]  Rui Zhang,et al.  Wireless Power Transfer With Hybrid Beamforming: How Many RF Chains Do We Need? , 2018, IEEE Transactions on Wireless Communications.

[4]  Mehdi Bennis,et al.  Edge computing meets millimeter-wave enabled VR: Paving the way to cutting the cord , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[5]  Rahim Tafazolli,et al.  Low-Complexity and Robust Hybrid Beamforming Design for Multi-Antenna Communication Systems , 2018, IEEE Transactions on Wireless Communications.

[6]  Theodore S. Rappaport,et al.  Hybrid beamforming for 5G millimeter-wave multi-cell networks , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[7]  Ying Li,et al.  Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems , 2018, IEEE Access.

[8]  Husheng Li,et al.  Throughput Degradation Due to Mobility in Millimeter Wave Communication Systems Using Random Beamforming , 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).

[9]  Lila Boukhatem,et al.  User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[10]  Ismail Güvenç,et al.  Effect of Passive Reflectors for Enhancing Coverage of 28 GHz mmWave Systems in an Outdoor Setting , 2018, 2019 IEEE Radio and Wireless Symposium (RWS).

[11]  Amitabha Ghosh,et al.  5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15 , 2019, IEEE Access.

[12]  Ahmed Alkhateeb,et al.  Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems , 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

[13]  Mustafa S. Aljumaily Hybrid Beamforming in Massive-MIMO mmWave Systems Using LU Decomposition , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

[14]  Ahmed Alkhateeb,et al.  DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications , 2019, ArXiv.

[15]  Ali Kashif Bashir,et al.  An optimal multitier resource allocation of cloud RAN in 5G using machine learning , 2019, Trans. Emerg. Telecommun. Technol..

[16]  Husheng Li,et al.  Machine Learning Aided Hybrid Beamforming in Massive-MIMO Millimeter Wave Systems , 2019, 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[17]  Hongyu Li,et al.  A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems , 2018, IEEE Wireless Communications.

[18]  A. Elbir,et al.  Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO , 2020, IEEE Communications Letters.

[19]  Husheng Li,et al.  Mobility Speed Effect and Neural Network Optimization for Deep MIMO Beamforming in mmWave Networks , 2020 .