Channel Allocation in Cognitive Radio Networks using Evolutionary Technique
Vinesh Kumar, Sanjay Kumar Dhurandher, Bhagyashri Tushir, Mohammad S. Obaidat · 2016
Cognitive radio technology provides a platform at which licensed and unlicensed user share the spectrum. In spectrum sharing, interference plays an important role. Therefore, in this work, interference is considered as a parameter for spectrum sharing between licensed and unlicensed users. The authors in this work proposed a novel channel allocation technique using Non-dominated set of solutions according to following objectives: maximum SINR, probability for maximum SINR and maximum free time of channels. The Non-dominated set of solutions has been calculated using Naive and Slow method. The simulation analysis further shows that the proposed technique outperforms the existing technique in terms of throughput and utilization by 65.47% and 47.31% respectively.