Institut for Forretningsudvikling og Teknologi

Ramjee Prasad

Stochastic-Geometry Based Characterization of Aggregate Interference in TVWS Cognitive Radio Networks

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In this paper, we characterize the worst-case interference
for a finite-area TV white space heterogeneous network
using the tools of stochastic geometry. We derive closed-form
expressions on the probability distribution function (PDF) of the
aggregate interference for various values of path loss exponent.
The proposed characterization of the interference is simple and
can be used in improving the spectrum access techniques. Using
the derived PDF, we demonstrate the performance gain in the
spectrum detection of an eigenvalue-based detector for cognitive
radio networks.
OriginalsprogEngelsk
TidsskriftIEEE Systems Journal
ISSN1932-8184
DOI
StatusE-pub ahead of print - 3 apr. 2019

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