EVOLUTIONARY GAME THEORY BASED COOPERATIVE SPECTRUM SENSING IN COGNITIVE RADIO NETWORK

Описание: DESIGN DETAILS
Cooperative Spectrum Sensing (CSS) has shown to be a powerful solution to improve the sensing performance in cognitive radio (CR) networks. Spectrum sensing is a key functionality of Cognitive Radio to detect the availability of Primary User (PU) in a licensed band. However, the local sensing performance of Cognitive Radio users is adversely affected by the issues like multi-path fading, shadowing, and receiver uncertainty problem. These issues can be addressed by Cooperative Spectrum Sensing (CSS). In this work, we have proposed a distributed Cooperative Spectrum Sensing scheme using evolutionary game theoretic model for Cognitive Radio Networks which contributes to improve the sensing performance in terms of detection probability. The utility function of the game is formulated considering the trade-of between gain and cost during coalition formation. A simulation study has been carried out to evaluate the performance of the scheme using Matlab 2022 version.

REFERENCES
Reference Paper-1: Coalitional Game Theory based Cooperative Spectrum Sensing in CRNs
Author’s Name: Jyotirmay Gupta, Prakash Chauhan and Sanjib K. Deka
Source: ICDCN
Year: 2017

Reference Paper-2: Evolutionary Theoretical Game for Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey
Author’s Name: Djamel TEGUIG, Bart SCHEERS and Vincent LE NIR
Source: NATO OTAN
Year: 2014

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