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