System-level performance of interference alignment

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Title:	System-level performance of interference alignment
Author:	Mungara, Ratheesh K.; Morales-Jiménez, David; Lozano Solsona, Angel
Abstract:	Capitalizing on the analytical potency of stochastic/ngeometry and on some new ideas to model intercell interference,/nthis paper presents analytical expressions that enable quantifying/nthe spectral efficiency of IA (interference alignment) in cellular/nnetworks without the need for simulation. From these expressions,/nthe benefits of IA are characterized. Even under favorable/nassumptions, IA is found to be beneficial only in very specific and/nrelatively infrequent network situations, and a blanket utilization/nof IA is found to be altogether detrimental. Applied only in the/nappropriate situations, IA does bring about benefits that are/nsignificant for the users involved but relatively small in terms of/naverage spectral efficiency for the entire system.
Abstract:	This work was supported by the European Project FET 265578 “HIATUS”
Subject(s):	-Interference alignment -Stochastic geometry -Poisson point process -Spatial multiplexing -Spectral efficiency -Distributed cooperation
Rights:	© 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./nThe final published article can be found at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6928512
Document type:	Article Article - Accepted version
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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