TY - JOUR
T1 - Co-channel interference modeling and analysis in a poisson field of interferers in wireless communications
AU - Yang, Xueshi
AU - Petropulu, Athina P.
N1 - Funding Information:
Manuscript received March 1, 2002; revised August 8, 2002. Part of this work was presented at the IEEE—EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, MD, June 2001, and the 11th IEEE Workshop on Statistical Signal Processing, Orchid Country Club, Singapore, August 2001. Part of this work was supported by the Office of Naval Research under Grant N00014-03-1-0123. The associate editor coordinating the review of this paper and approving it for publication was Dr. Rick S. Blum.
PY - 2003/1
Y1 - 2003/1
N2 - 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.
AB - 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.
KW - Alpha-stable distributions
KW - Interference modeling
KW - Long-range dependence
KW - Non-Gaussian
KW - Signal detection
KW - Wireless communications
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U2 - 10.1109/TSP.2002.806591
DO - 10.1109/TSP.2002.806591
M3 - Article
AN - SCOPUS:0037235245
SN - 1053-587X
VL - 51
SP - 64
EP - 76
JO - IRE Transactions on Audio
JF - IRE Transactions on Audio
IS - 1
ER -