Paper Info
Title
Statistical Models Of Spectrum Opportunities For Cognitive Radio
Abstract
Dynamic Spectrum Access (DSA) is widely seen as a feasible solution to the problem of illusive radio spectrum clogging. The fundamental concept of DSA is to opportunistically access unutilised spectrum bands while respecting the rights of privileged incumbent users. DSA and spectrum policies depend on meticulous statistics of spectrum opportunities as well as spectrum occupancy models. In this paper, we develop a model to characterise the number of spectrum opportunities available using the probability and approximation theory. In particular, we derive the probability mass function (PMF) of the total number of spectrum opportunities available depending on the probability of each channel being free. We further analyse the complexity involved in calculating the PMF of the total number of available channels at any time and location and develop approximate models. Numerical results are provided showing that the proposed approximation models of spectrum opportunities achieve good accuracy at significantly lower computational cost.
Year
DOI
Venue
2011
10.1109/PIMRC.2011.6139931
2011 IEEE 22ND INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC)
Keywords
DocType
Citations 
probability,probability mass function,computational modeling,sensors,cognitive radio,approximation theory,computer model,probability distribution,statistical model,spectrum
Conference
5
PageRank 
References 
Authors
0.56
2
2
Name
Order
Citations
PageRank
Kamran Arshad132826.17
Klaus Moessner21077112.48