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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.

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Official URL: https://doi.org/10.1109/TVT.2022.3141597


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

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