A low-complexity beam selection algorithm for two-dimensional beamspace massive MIMO

Q Zhang, J Shi, BY Wu - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
To mitigate the huge investment in radio-frequency devices and associated high power
consumption of modern base stations, the beamspace multiple-input multiple-output (B …

[引用][C] A simple DFT-aided spatial basis expansion model and channel estimation strategy for massive MIMO systems

H Xie, F Gao, S Zhang, S Jin - arXiv preprint arXiv:1511.04841, 2015

A mixed-integer programming approach to interference exploitation for massive-MIMO

PV Amadori, C Masouros - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
A novel low-complexity transmission scheme for Massive Multiuser Multi-Input Multi-Output
(M-MU-MIMO) is proposed, where Transmit Antenna Selection (TAS) and beam-forming are …

A spatial domain based method against pilot contamination for multi-cell massive MIMO systems

H Wang, Z Pan, J Ni, I Chih-Lin - 2013 8th international …, 2013 - ieeexplore.ieee.org
Massive multiple-input and multiple-output (MIMO) system has shown its outstanding
performance in energy saving and spectrum efficiency, with channel state information (CSI) …

Vertex graph-coloring-based pilot assignment with location-based channel estimation for massive MIMO systems

HT Dao, S Kim - IEEE Access, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is considered as a promising technique in
wireless communication systems, which contains cellular base stations equipped with a very …

Experimental study of user selection for dense indoor massive MIMO

CM Chen, Q Wang, A Gaber… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
Multi-user massive MIMO is capable of serving at least ten users simultaneously. However,
when users are closely located, their high inter-user correlation is undesired; under this …

Scalable user selection in FDD massive MIMO

X Zhang, A Sabharwal - EURASIP Journal on Wireless Communications …, 2021 - Springer
User subset selection requires full downlink channel state information to realize effective
multi-user beamforming in frequency-division duplexing (FDD) massive multi-input multi …

User selection and rank adaptation for multi-user Massive MIMO with hybrid beamforming

H Miyazaki, S Suyama, T Okuyama… - 2017 IEEE 86th …, 2017 - ieeexplore.ieee.org
The fifth-generation (5G) radio access network will introduce the use of higher frequency
bands with wider bandwidth and Massive MIMO technology for realizing super high bit rate …

Location-aware channel estimation enhanced TDD based massive MIMO

Z Wang, P Zhao, C Qian, S Chen - IEEE Access, 2016 - ieeexplore.ieee.org
Pilot contamination (PC) is a stumbling block in theway of realizing massive multi-input multi-
output (MIMO) systems. This contribution proposes a location-aware channel estimation …

Cell-free massive MIMO: Zero forcing and conjugate beamforming receivers

Y Zhang, H Cao, M Zhou, L Yang - Journal of Communications …, 2019 - ieeexplore.ieee.org
In this paper, the uplink performance of cell-free massive multi-input multi-output (mMIMO)
system with the zero-forcing (ZF) and conjugate beamforming (CB) receivers is investigated …