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Authors: Vinesh Kumar 1 ; Sanjay K. Dhurandher 2 ; Bhagyashri Tushir 2 and Mohammad S. Obaidat 3

Affiliations: 1 Jawaharlal Nehru University, India ; 2 NSIT and University of Delhi, India ; 3 Fordham University, United States

ISBN: 978-989-758-196-0

Keyword(s): Signal to Interference Plus Noise Ratio, Channel, Probability, Markov Chain, Non-dominated Set of Solutions.

Abstract: 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.

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Paper citation in several formats:
Kumar, V.; Dhurandher, S.; Tushir, B. and Obaidat, M. (2016). Channel Allocation in Cognitive Radio Networks using Evolutionary Technique.In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016) ISBN 978-989-758-196-0, pages 106-112. DOI: 10.5220/0005939801060112

@conference{winsys16,
author={Vinesh Kumar. and Sanjay K. Dhurandher. and Bhagyashri Tushir. and Mohammad S. Obaidat.},
title={Channel Allocation in Cognitive Radio Networks using Evolutionary Technique},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)},
year={2016},
pages={106-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005939801060112},
isbn={978-989-758-196-0},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 6: WINSYS, (ICETE 2016)
TI - Channel Allocation in Cognitive Radio Networks using Evolutionary Technique
SN - 978-989-758-196-0
AU - Kumar, V.
AU - Dhurandher, S.
AU - Tushir, B.
AU - Obaidat, M.
PY - 2016
SP - 106
EP - 112
DO - 10.5220/0005939801060112

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