Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Cumulated interference power and bit-error-rates in mobile packet radio
Wireless Networks
Throughput analysis of fading sensor networks with regular and random topologies
EURASIP Journal on Wireless Communications and Networking
Pareto Frontiers of Sensor Networks for Localization
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Outage, local throughput, and capacity of random wireless networks
IEEE Transactions on Wireless Communications
Interference and outage in clustered wireless ad hoc networks
IEEE Transactions on Information Theory
Wireless physical-layer security: the case of colluding eavesdroppers
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Interference in Large Wireless Networks
Foundations and Trends® in Networking
Outage-based throughput in wireless packet networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A geometric approach to improve spectrum efficiency for cognitive relay networks
IEEE Transactions on Wireless Communications
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This paper deals with the distribution of cumulated instantaneous interference power in a Rayleigh fading channel for an infinite number of interfering stations, where each station transmits with a certain probability, independently of all others. If all distances are known, a necessary and sufficient condition is given for the corresponding distribution to be nondefective. Explicit formulae of density and distribution functions are obtained in the interesting special case that interfering stations are located on a linear grid. Moreover, the Laplace transform of cumulated power is investigated when the positions of stations follow a one- or two-dimensional Poisson process. It turns out that the corresponding distribution is defective for the two-dimensional models.