Co-channel interference modeling and analysis in a poisson field of interferers inwireless communications

Xueshi Yang; Athina P. Petropulu

doi:10.1007/978-1-4419-6624-7_19

Co-channel interference modeling and analysis in a poisson field of interferers inwireless communications

Xueshi Yang, Athina P. Petropulu

School of Engineering, Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

Abstract

This chapter 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 chapter, analytic expressions for the interference second-order statistics are provided, and it is shown that depending on the properties of the users’ holding times, the interference can be long-range dependent.

Original language	English (US)
Title of host publication	Classical, Semi-Classical and Quantum Noise
Publisher	Springer US
Pages	271-282
Number of pages	12
ISBN (Electronic)	9781441966247
ISBN (Print)	9781441966230
DOIs	https://doi.org/10.1007/978-1-4419-6624-7_19
State	Published - Jan 1 2012

All Science Journal Classification (ASJC) codes

General Engineering
General Computer Science

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10.1007/978-1-4419-6624-7_19

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abstract = "This chapter 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 chapter, analytic expressions for the interference second-order statistics are provided, and it is shown that depending on the properties of the users{\textquoteright} holding times, the interference can be long-range dependent.",

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N2 - This chapter 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 chapter, analytic expressions for the interference second-order statistics are provided, and it is shown that depending on the properties of the users’ holding times, the interference can be long-range dependent.

AB - This chapter 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 chapter, analytic expressions for the interference second-order statistics are provided, and it is shown that depending on the properties of the users’ holding times, the interference can be long-range dependent.

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PB - Springer US

ER -

Co-channel interference modeling and analysis in a poisson field of interferers inwireless communications

Abstract

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