Title :
Co-channel interference modeling and analysis in a Poisson field of interferers in wireless communications
Author :
Yang, Xueshi ; Petropulu, Athina P.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
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 α-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, φ-mixing, or long-range dependent. Finally, we present some implications of our theoretical findings on signal detection.
Keywords :
Poisson distribution; cochannel interference; radio networks; signal detection; statistical analysis; α-stable distribution; φ-mixing interference; Poisson field; co-channel interference modeling; independent interference samples; interference instantaneous amplitude; interference second-order statistics; long-range dependent interference; m-dependent interference; power-law propagation loss function; propagation medium; second-order statistics; signal detection; spatially Poisson distributed interfering users; users holding times; wireless communication network; Conferences; Intelligent networks; Interchannel interference; Mathematical model; Noise generators; Signal detection; Signal processing; Statistical distributions; Wireless communication; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.806591