Distributed spectrum sensing for cognitive radio systems using graph theory
| Autor: | M. C. Hlophe, Bodhaswar T. Maharaj, Soumaya Hamouda |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Random graph
Theoretical computer science 020206 networking & telecommunications Graph theory 02 engineering and technology Geometric distribution Degree distribution Network topology Cognitive radio 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm Random geometric graph Network model Mathematics |
| Zdroj: | AFRICON |
| DOI: | 10.1109/afrcon.2017.8095493 |
| Popis: | In this paper, we propose a distributed spectrum sensing technique for a finite source of Secondary Users (SUs) in the presence of M Primary Users (PUs) where individual SUs perform spectrum sensing using an Enhanced Blindly Combined Energy Detection (EBCED) technique according to the geometric distribution. We apply graph theory in order to facilitate signal detection using statistical learning and network modeling using random fields. This allows for the defining of neighborhoods for a better network topology through SU collaboration, into forming a non-equilibrium graph model with uniform attachment which has a Poisson degree distribution. Our results indicate that EBCED performs better than the other techniques as it reduces Probability of Mis-Detection (P MD ) by 21.92% compared to conventional energy detection in a distributed scenario. We also show that non-equilibrium graphs can model real-world networks if they use uniform attachment which enhances distance re-use in random fields. |
| Databáze: | OpenAIRE |
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