DocumentCode :
2857
Title :
System-Level Performance of Interference Alignment
Author :
Mungara, Ratheesh K. ; Morales-Jimenez, David ; Lozano, Angel
Author_Institution :
Dept. of Inf. & Commun. Technol., Univ. Pompeu Fabra, Barcelona, Spain
Volume :
14
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
1060
Lastpage :
1070
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.
Keywords :
cellular radio; geometry; radiofrequency interference; stochastic processes; IA; average spectral efficiency; blanket utilization; cellular network; intercell interference alignment; stochastic geometry; system-level performance; Analytical models; Decoding; Geometry; Interference; Receivers; Shadow mapping; Wireless communication; Interference alignment; Poisson point process; distributed cooperation; spatial multiplexing; spectral efficiency; stochastic geometry;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2363677
Filename :
6928512
Link To Document :
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