Paper Info
Title
Performance of multi-antenna linear MMSE receivers in the presence of clustered interferers
Abstract
A technique is presented to characterize the Signal-to-Interference-plus-Noise Ratio (SINR) on a wireless link with a multi-antenna linear Minimum-Mean-Square Error (MMSE) receiver in the presence of spatially clustered interferers. The interferers could be distributed as either a single, randomly located cluster or a Poisson cluster process. Explicit expressions are provided for both the Thomas and Matern cluster processes of interferers which can be evaluated numerically using standard numerical integration tools. These results generalize previously derived results for non-homogenous Poisson networks (where the spatial non-homogeneity is deterministic) to networks where the non-homogeneity is random.
Year
DOI
Venue
2013
10.1109/ICC.2013.6655046
ICC
Keywords
Field
DocType
stochastic processes,neyman-scott,nonhomogenous poisson networks,sinr,mmse,poisson cluster process,wireless link,standard numerical integration tools,antenna arrays,matern cluster processes,clustered interferers,signal-to-interference-plus-noise ratio,clustered,poisson,multiantenna linear minimum-mean-square error,thomas cluster processes,spatial non-homogeneity,radio receivers,mimo,multiantenna linear mmse receivers,mean square error methods,interference,transmitters,wireless networks,signal to noise ratio,signal to interference plus noise ratio
Wireless,Expression (mathematics),Computer science,Numerical integration,Algorithm,Stochastic process,Real-time computing,Radio receiver,Poisson distribution,Statistics
Conference
ISSN
Citations 
PageRank 
1550-3607
1
0.36
References 
Authors
10
2
Name
Order
Citations
PageRank
Junjie Zhu165.29
Siddhartan Govindasamy2337.25