Co-channel interference modeling and analysis in a Poisson field of interferers in wireless communications

被引:134
作者
Yang, XS
Petropulu, AP
机构
[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
[2] Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USA
关键词
alpha-stable distributions; interference modeling; long-range dependence; non-Gaussian; signal detection; wireless communications;
D O I
10.1109/TSP.2002.806591
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper considers interference in a wireless communication network caused by users that share the same propagation medium. Under the assumption that the interfering users are spatially Poisson distributed and under a power-law propagation loss function, it has been shown in the past that the interference instantaneous amplitude at the receiver is a-stable distributed. Past work has not considered the second-order statistics of the interference and has relied on the assumption that interference samples are independent. In this paper, we provide analytic expressions for the interference second-order statistics and show that depending on the properties of the users' holding times, the interference can be correlated. We provide conditions under which the interference becomes m-dependent, phi-mixing, or long-range dependent. Finally, we present some implications of our theoretical findings on signal detection.
引用
收藏
页码:64 / 76
页数:13
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