A simple and effective approach for transmit antenna selection in multiuser massive MIMO leveraging submodularity

A Konar, ND Sidiropoulos - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
Massive MIMO systems are expected to enable great improvements in spectral and energy
efficiency. Realizing these benefits in practice, however, is hindered by the cost and …

Massive MIMO antenna selection: Asymptotic upper capacity bound and partial CSI

C Ouyang, H Yang - arXiv preprint arXiv:1812.06595, 2018 - arxiv.org
Antenna selection (AS) is regarded as the key promising technology to reduce hardware
cost but keep relatively high spectral efficiency in multi-antenna systems. By selecting a …

[PDF][PDF] Antenna selection and power allocation in massive MIMO

PD Selvam, KS Vishvaksenan - Radioengineering, 2019 - radioeng.cz
This paper explores the massive multiple-input multiple-output (Ma-MIMO) communication
system possessing large number of antennas at the basestation (BS) serving multiple user …

Asymptotic upper capacity bound for receive antenna selection in massive MIMO systems

C Ouyang, Z Ou, L Zhang, P Yang… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
This paper studies the receive antenna selection in massive multiple-input multiple-output
(MIMO) systems. The receiver, equipped with a large-scale antenna array whose size is …

Two New Applications of Tensors to Machine Learning for Wireless Communications

K Bhogi - 2021 - vtechworks.lib.vt.edu
With the increasing number of wireless devices and the phenomenal amount of data that is
being generated by them, there is a growing interest in the wireless communications …

Tensor Learning-based Precoder Codebooks for FD-MIMO Systems

K Bhogi, C Saha, HS Dhillon - arXiv preprint arXiv:2106.11374, 2021 - arxiv.org
This paper develops an efficient procedure for designing low-complexity codebooks for
precoding in a full-dimension (FD) multiple-input multiple-output (MIMO) system with a …