Mollaebrahim, S., Ghari, P. M., Fazel, M. S. and Imran, M. A. (2018) Designing Precoding and Receive Matrices for Interference Alignment in MIMO Interference Channels. In: IEEE GLOBECOM, Singapore, 4-8 Dec 2017, ISBN 9781509050192 (doi: 10.1109/GLOCOM.2017.8254868)
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Abstract
Interference is a key bottleneck in wireless communication systems. Interference alignment is a management technique that align interference from other transmitters in the least possibly dimension subspace at each receiver and provides the remaining dimensions for free interference signal. An uncoordinated interference is an example of interference which cannot be aligned coordinately with interference from coordinated part; consequently, the performance of interference alignment approaches are degraded. In this paper, we propose a rank minimization method to enhance the performance of interference alignment in the presence of uncoordinated interference sources. Firstly, to obtain higher multiplexing gain, a new rank minimization based optimization problem is proposed; then, a new class of convex relaxation is introduced which can reduce the optimal value of the problem and obtain lower rank solutions by expanding the feasibility set. Simulation results show that our proposed method can obtain considerably higher multiplexing gain and sum rate than other approaches in the interference alignment framework.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Imran, Professor Muhammad |
Authors: | Mollaebrahim, S., Ghari, P. M., Fazel, M. S., and Imran, M. A. |
College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
ISBN: | 9781509050192 |
Published Online: | 15 January 2018 |
Copyright Holders: | Copyright © 2017 IEEE |
First Published: | First published in 2017 IEEE Global Communications Conference (GLOBECOM 2017) |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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