A successive optimization approach to pilot design for multi-cell massive MIMO systems

Al-Salihi, Hayder, Van Chien, Trinh, Le, Tuan Anh ORCID logoORCID: https://orcid.org/0000-0003-0612-3717 and Nakhai, Mohammad Reza (2018) A successive optimization approach to pilot design for multi-cell massive MIMO systems. IEEE Communications Letters, 22 (5) . pp. 1086-1089. ISSN 1089-7798 [Article] (doi:10.1109/LCOMM.2018.2812891)

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In this letter, we introduce a novel pilot design approach that minimizes the total mean square errors of the minimum mean square error estimators of all base stations (BSs) subject to the transmit power constraints of individual users in the network, while tackling the pilot contamination in multicell Massive MIMO systems. First, we decompose the original non-convex problem into distributed optimization sub-problems at individual BSs, where each BS can optimize its own pilot signals given the knowledge of pilot signals from the remaining BSs. We then introduce a successive optimization approach to transform each optimization sub-problem into a linear matrix inequality (LMI) form, which is convex and can be solved by available optimization packages. Simulation results confirm the fast convergence of the proposed approach and prevails a benchmark scheme in terms of providing higher accuracy.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 23863
Notes on copyright: © 2018 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: 14 Mar 2018 12:34
Last Modified: 29 Nov 2022 19:57
URI: https://eprints.mdx.ac.uk/id/eprint/23863

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