Active Channel Sparsification for Uplink Massive MIMO With Uniform Planar Array

Yu, Han, You, Li, Wang, Wenjin and Yi, Xinping ORCID: 0000-0001-5163-2364 (2021) Active Channel Sparsification for Uplink Massive MIMO With Uniform Planar Array. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 20 (9). pp. 6018-6032.

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Official URL: http://dx.doi.org/10.1109/twc.2021.3071481

Abstract

We consider a single-cell massive multi-input multi-output (MIMO) network with uniform planar array (UPA) antennas equipped at the base station that serves a number of single-antenna users. In the overloaded multi-user setting, it is likely that users' channels are highly spatial-correlated with overlapping spectrum in the angular domain, which imposes challenges on uplink channel estimation and data transmission due to potential pilot contamination during uplink training and multiuser interference during uplink data transmission. To mitigate the effect of multiuser channel spatial correlation, we adopt a recently proposed active channel sparsification strategy, and propose a novel method for joint user and beam selection in the angular domain. In particular, we represent all users' channels in the angular/beam domain, taking advantage of the doubly block Toeplitz structure of the channel covariance matrix for UPA. Accordingly, we construct a weighted bipartite graph to represent the beam and user association for ease of user/beam selection. By doing so, we reformulate the problems of mean square error minimization for uplink channel estimation and sum rate maximization for uplink data detection as two mixed integer linear programs (MILPs), by which the challenging joint user and beam selection problem can be efficiently solved via off-the-shelf MILP solvers. The simulation results demonstrate the effectiveness of our active channel sparsification strategy for the joint user and beam selection.

Item Type:	Article
Uncontrolled Keywords:	Channel estimation, Uplink, Massive MIMO, Covariance matrices, Antennas, Multiplexing, Correlation, Massive MIMO, channel estimation, user selection, active channel sparsification
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	08 Apr 2021 08:29
Last Modified:	17 Mar 2024 11:40
DOI:	10.1109/TWC.2021.3071481
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3118425