Pareto-optimal pilot design for cellular massive MIMO systems
Article
Le, T., Van Chien, T., Nakhai, M. and Le-Ngoc, T. 2020. Pareto-optimal pilot design for cellular massive MIMO systems. IEEE Transactions on Vehicular Technology. 69 (11), pp. 13206-13215. https://doi.org/10.1109/TVT.2020.3021766
Type | Article |
---|---|
Title | Pareto-optimal pilot design for cellular massive MIMO systems |
Authors | Le, T., Van Chien, T., Nakhai, M. and Le-Ngoc, T. |
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]. |
Keywords | Channel estimation; MIMO communication; Pareto optimization; Linear matrix inequalities ; Symmetric matrices; Linear programming; Massive MIMO ; pilot design; linear matrix inequality; multi-objective optimization |
Publisher | IEEE |
Journal | IEEE Transactions on Vehicular Technology |
ISSN | 0018-9545 |
Electronic | 1939-9359 |
Publication dates | |
Online | 04 Sep 2020 |
12 Nov 2020 | |
Publication process dates | |
Deposited | 21 Aug 2020 |
Accepted | 18 Aug 2020 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 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 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TVT.2020.3021766 |
Web of Science identifier | WOS:000589638700065 |
Language | English |
https://repository.mdx.ac.uk/item/8909z
Download files
58
total views27
total downloads2
views this month4
downloads this month