Pareto-optimal pilot design for cellular massive MIMO systems

Le, Tuan Anh ORCID: https://orcid.org/0000-0003-0612-3717, Trinh, Van Chien, Nakhai, Mohammad Reza and Le-Ngoc, Tho (2020) Pareto-optimal pilot design for cellular massive MIMO systems. IEEE Transactions on Vehicular Technology . ISSN 0018-9545 [Article] (Published online first) (doi:10.1109/TVT.2020.3021766)

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Abstract

We introduce a non-orthogonal pilot design scheme that simultaneously minimizes two contradicting targets of channel estimation errors of all base stations (BSs) and the total pilot power consumptions of all users in a multi-cell massive MIMO system, subject to the transmit power constraints of the users in the network. We formulate a multi-objective optimization problem (MOP) with two objective functions capturing the contradicting targets and find the Pareto optimal solutions for the pilot signals. Using weighted-sum-scalarization technique, we first convert the MOP to an equivalent single-objective optimization problem (SOP), which is not convex. Assuming that each BS is provided with the most recent knowledge of the pilot signals of the other BSs, we then decompose the SOP into a set of distributed non-convex optimization problems to be solved at individual BSs. Finally, we introduce an alternating optimization approach to cast each one of the resulting distributed optimization problems into a convex linear matrix inequality (LMI) form. We provide a mathematical proof for the convergence of the proposed alternating approach and a complexity analysis for the LMI optimization problem. Simulation results confirm that the proposed approach significantly reduces pilot power, whilst maintaining the same level of channel estimation error as in [1].

Item Type: Article
Research Areas: A. > School of Science and Technology
Item ID: 30832
Notes on copyright: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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Depositing User: Tuan Le
Date Deposited: 21 Aug 2020 13:41
Last Modified: 23 Sep 2020 17:20
URI: https://eprints.mdx.ac.uk/id/eprint/30832

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