On the Performance of Distributed Antenna Array Systems with Quasi-Orthogonal Pilots

Chowdhury, A and Sasmal, P and Murthy, CR and Chopra, R (2022) On the Performance of Distributed Antenna Array Systems with Quasi-Orthogonal Pilots. In: IEEE Transactions on Vehicular Technology, 71 (3). pp. 3326-3331.

PDF IEEE_tra_veh_tec_71-3_3326-3331_2022.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

In this paper, we address the problem of channel estimation in a single cell massive multiple-input multiple-output (mMIMO) system with distributed antenna arrays (DAA) under the availability of limited pilots. Specifically, we propose to use pilots that are not only orthogonal within a cluster but also minimally correlated across clusters. We show that pilot sets that form mutually unbiased orthonormal bases (MUOB) minimize both inter- and intra-cluster pilot contamination. This also allows us to optimally choose the number of pilots needed to serve a given number of user equipments (UEs) within a DAA-mMIMO system. Following this, we develop an access point (AP) centered UE clustering algorithm to optimally cluster UEs for MUOB pilot allocation. Our experiments reveal that in a DAA-mMIMO system, MUOB not only offers better fairness compared to the traditional orthogonal pilot reuse scheme in terms of channel estimation error and per-UE throughput, but also delivers a higher sum system throughput.

Item Type:	Journal Article
Publication:	IEEE Transactions on Vehicular Technology
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Channel estimation; Clustering algorithms; Contamination; MIMO systems, Correlation; Distributed antenna arrays; Index; Massive MIMO; Multiple-Input Multiple- Output systems; Orthonormal basis; Performance; Pilot contaminations; Resource management; User equipments, Antenna arrays
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	16 Jun 2022 11:43
Last Modified:	16 Jun 2022 11:43
URI:	https://eprints.iisc.ac.in/id/eprint/73803

Actions (login required)

View Item