Interference alignment for one-hop and two-hops MIMO systems with uncoordinated interference

Mollaebrahim, S., Ghari, P. M., Fazel, M. S., Brante, G. and Imran, M. A. (2019) Interference alignment for one-hop and two-hops MIMO systems with uncoordinated interference. IEEE Transactions on Communications, (doi:10.1109/TCOMM.2019.2955441) (Early Online Publication)

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Abstract

Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, perfect and imperfect channel state information (CSI) cases are considered. Our proposed approaches employ the l2 and the Schatten-p norms to approximate the rank function, due to its non-convexity. Also, we propose a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions.

Item Type:Articles
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Mollaebrahim, S., Ghari, P. M., Fazel, M. S., Brante, G., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Communications
Publisher:IEEE
ISSN:0090-6778
ISSN (Online):1558-0857
Published Online:25 November 2019

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300725Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy

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