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On the overhead of interference alignment: training, feedback, and cooperation

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dc.contributor.author El Ayach, Omar
dc.contributor.author Lozano Solsona, Angel
dc.contributor.author Heath, R. W., Jr.
dc.date.accessioned 2015-04-13T08:34:30Z
dc.date.available 2015-04-13T08:34:30Z
dc.date.issued 2012
dc.identifier.citation El Ayach O, Lozano A, Heath RW. On the overhead of interference alignment: training, feedback, and cooperation. IEEE Transactions on Wireless Communications. 2012 Nov; 11(11): 4192-203. DOI 10.1109/TWC.2012.092412120588
dc.identifier.issn 1536-1276
dc.identifier.uri http://hdl.handle.net/10230/23403
dc.description.abstract Interference alignment (IA) is a cooperative transmission strategy that, under some conditions,/nachieves the interference channel’s maximum number of degrees of freedom. Realizing IA gains,/nhowever, is contingent upon providing transmitters with sufficiently accurate channel knowledge. In/nthis paper, we study the performance of IA in multiple-input multiple-output systems where channel/nknowledge is acquired through training and analog feedback.We design the training and feedback system/nto maximize IA’s effective sum-rate: a non-asymptotic performance metric that accounts for estimation/nerror, training and feedback overhead, and channel selectivity. We characterize effective sum-rate with/noverhead in relation to various parameters such as signal-to-noise ratio, Doppler spread, and feedback/nchannel quality. A main insight from our analysis is that, by properly designing the CSI acquisition/nprocess, IA can provide good sum-rate performance in a very wide range of fading scenarios. Another/nobservation from our work is that such overhead-aware analysis can help solve a number of practical/nnetwork design problems. To demonstrate the concept of overhead-aware network design, we consider/nthe example problem of finding the optimal number of cooperative IA users based on signal power and/nmobility.
dc.description.sponsorship The authors at The University of Texas were supported by the Office of Naval Research (ONR) under grant N000141010337./nThe work of A. Lozano is supported by the FET FP7 Project 265578 “HIATUS”.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof IEEE Transactions on Wireless Communications. 2012 Nov; 11(11): 4192-203
dc.rights © 2012 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/xpls/abs_all.jsp?arnumber=6319338
dc.title On the overhead of interference alignment: training, feedback, and cooperation
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1109/TWC.2012.092412120588
dc.subject.keyword MIMO
dc.subject.keyword Analog feedback
dc.subject.keyword Channel estimation
dc.subject.keyword Channel state information (CSI)
dc.subject.keyword Interference alignment
dc.subject.keyword Interference cancellation
dc.subject.keyword Interference channels
dc.subject.keyword Multiple access interference
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/265578
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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