A NEW ANALYTICAL MODEL FOR OPTIMIZED COGNITIVE RADIO NETWORKS BASED ON STOCHASTIC GEOMETRY

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In this paper, we consider an underlay type cognitive radio network with multiple secondary users who contend to access multiple heterogeneous licensed channels. With the help of stochastic geometry we develop a new analytical model to analyze a random channel access protocol where each secondary user determines whether to access a licensed channel based on a given access probability. In our analysis we introduce the so-called interference-free region to derive the coverage probability for an arbitrary secondary user. With the help of the interference-free region we approximate the interferences at an arbitrary secondary user from primary users as well as from secondary users in a simple way. Based on our analytical model we obtain the optimal access probabilities that maximize the throughput. Numerical examples are provided to validate our analysis.
Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
Issue Date
2017-10
Language
English
Article Type
Article
Keywords

WIRELESS NETWORKS; INTERFERENCE; OUTAGE

Citation

JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, v.13, no.4, pp.1883 - 1899

ISSN
1547-5816
DOI
10.3934/jimo.2017023
URI
http://hdl.handle.net/10203/226609
Appears in Collection
MA-Journal Papers(저널논문)
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