System-Level Performance of Interference Alignment

Ratheesh K. Mungara, D. Morales-Jimenez, Angel Lozano

Research output: Contribution to journalArticle

20 Citations (Scopus)
82 Downloads (Pure)

Abstract

Capitalizing on the analytical potency of stochastic geometry and on some new ideas to model intercell interference, this paper presents analytical expressions that enable quantifying the spectral efficiency of interference alignment (IA) in cellular networks without the need for simulation. From these expressions, the benefits of IA are characterized. Even under favorable assumptions, IA is found to be beneficial only in very specific and relatively infrequent network situations, and a blanket utilization of IA is found to be altogether detrimental. Applied only in the appropriate situations, IA does bring about benefits that are significant for the users involved but relatively small in terms of average spectral efficiency for the entire system
Original languageEnglish
Pages (from-to)1060-1070
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume14
Issue number2
Early online date17 Oct 2014
DOIs
Publication statusPublished - Feb 2015

Keywords

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