A robust transmission strategy for multi-cell interference networks

Le, Tuan Anh, Nakhai, Mohammad Reza and Navaie, Keivan (2015) A robust transmission strategy for multi-cell interference networks. In: 2015 IEEE Global Communications Conference (GLOBECOM), 6-10 Dec 2015, San Diego, CA, USA. (doi:10.1109/GLOCOM.2015.7417142)

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Abstract

In this paper, we propose a robust transmission strategy for multi-cell networks equipped with multiple-antenna base stations (BSs) under universal frequency reuse and in the presence of channel estimation error. We propose a distributed optimization scheme, where each BS individually minimizes a combination of its total transmit power and its resulting overall interference inflicted on the users of the adjacent cells, subject to maintaining a desired quality of service at its local users. We transform the proposed scheme to a robust optimization problem for the worst case of errors and derive a semidefinite programming (SDP) using rank-relaxation. We prove that the derived SDP always yields exact rank-one optimal solutions. This is in contrast to the standard rank-relaxed SDP technique that requires an additionally high computational complexity to approximate the solutions with sufficient accuracies, required for an effective beamforming. A comparison of simulation results show that the proposed transmission strategy can expand the signal-to-interference-plus-noise-ratio operational range with significantly reduced power consumption levels at BSs and perform closely to its centralized counterpart.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 19053
Notes on copyright: Attached full text: © 2015 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: 23 Mar 2016 11:13
Last Modified: 03 Jun 2019 09:46
ISBN: 9781467395267
URI: https://eprints.mdx.ac.uk/id/eprint/19053

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