DocumentCode :
37737
Title :
The Equivalent-in-Distribution (EiD)-Based Approach: On the Analysis of Cellular Networks Using Stochastic Geometry
Author :
Di Renzo, Marco ; Wei Lu
Author_Institution :
Lab. des Signaux et Syst., Univ. Paris-Sud XI, Gif-sur-Yvette, France
Volume :
18
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
761
Lastpage :
764
Abstract :
In this Letter, the Equivalent-in-Distribution (EiD)-based approach to the analysis of cellular networks is introduced. It is based upon finding EiD representations of the aggregate other-cell interference of cellular networks, which lead to tractable and exact mathematical formulations of the Average Symbol Error Probability (ASEP) for arbitrary bi-dimensional modulations. As a byproduct, a new lemma is introduced, which provides a single-integral expression of the ASEP in terms of the Complementary Cumulative Distribution Function (CCDF) of the Signal-to-Interference-plus-Noise-Ratio (SINR).
Keywords :
cellular radio; error statistics; modulation; radiofrequency interference; stochastic processes; ASEP; CCDF; SINR; aggregate other-cell interference; arbitrary bidimensional modulations; average symbol error probability; cellular networks; complementary cumulative distribution function; equivalent-in-distribution representations; signal-to-interference-plus-noise-ratio; stochastic geometry; Aggregates; Fading; Geometry; Interference; Signal to noise ratio; Stochastic processes; Wireless communication; Cellular networks; equivalence in distribution; network interference modeling; stochastic geometry;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2014.030714.132865
Filename :
6774419
Link To Document :
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