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Title: Gaussian random field approximation for exclusion zones in cognitive radio networks
To protect primary users from interference caused by secondary users (SUs) in a cognitive radio network, a geographic area called an exclusion zone can be defined in which SUs are prohibited from transmitting using a specified spectrum band. We propose a Gaussian Random Field Model (GRFM) framework for determining an exclusion zone with the desired properties in practical scenarios where analytical specifications may not be available. Based on the GRFM, we derive the radius of a disk determining the exclusion zone, assuming that the SUs are distributed geographically over a planar coverage area. Using measurement data obtained from SUs, the GRFM is applied to approximate the equivalent received signal power and aggregate interference at specified locations. Simulation results show that the GRFM approximation yields an accurate characterization of the exclusion zone.
Award ID(s):
1737989 1421869
Publication Date:
Journal Name:
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Page Range or eLocation-ID:
1 to 5
Sponsoring Org:
National Science Foundation
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