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