System-Level Performance of Interference Alignment

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

doi:10.1109/TWC.2014.2363677

System-Level Performance of Interference Alignment

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

School of Electronics, Electrical Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

222 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 language	English
Pages (from-to)	1060-1070
Number of pages	11
Journal	IEEE Transactions on Wireless Communications
Volume	14
Issue number	2
Early online date	17 Oct 2014
DOIs	https://doi.org/10.1109/TWC.2014.2363677
Publication status	Published - Feb 2015

Keywords

4

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System-level Performance of Interference Alignment
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Cite this

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System-Level Performance of Interference Alignment

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Keywords

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