loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.14.132.178

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (ICETE 2016) - WINSYS; ISBN 978-989-758-196-0; ISSN 2184-3236, SciTePress, 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 (ICETE 2016) - WINSYS},
year={2016},
pages={106-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005939801060112},
isbn={978-989-758-196-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - WINSYS
TI - Channel Allocation in Cognitive Radio Networks using Evolutionary Technique
SN - 978-989-758-196-0
IS - 2184-3236
AU - Kumar, V.
AU - Dhurandher, S.
AU - Tushir, B.
AU - Obaidat, M.
PY - 2016
SP - 106
EP - 112
DO - 10.5220/0005939801060112
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic