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Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling

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Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling. / Abozariba, Raouf; Asaduzzaman, Md; Patwary, Mohammad N.
In: IEEE Transactions on Vehicular Technology, Vol. 66, No. 3, 03.2017, p. 2433-2447.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Abozariba, R, Asaduzzaman, M & Patwary, MN 2017, 'Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling', IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2433-2447. https://doi.org/10.1109/TVT.2016.2582787

APA

Abozariba, R., Asaduzzaman, M., & Patwary, M. N. (2017). Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling. IEEE Transactions on Vehicular Technology, 66(3), 2433-2447. https://doi.org/10.1109/TVT.2016.2582787

Vancouver

Abozariba R, Asaduzzaman M, Patwary MN. Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling. IEEE Transactions on Vehicular Technology. 2017 Mar;66(3):2433-2447. Epub 2016 Jun 21. doi: 10.1109/TVT.2016.2582787

Author

Abozariba, Raouf ; Asaduzzaman, Md ; Patwary, Mohammad N. / Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling. In: IEEE Transactions on Vehicular Technology. 2017 ; Vol. 66, No. 3. pp. 2433-2447.

Bibtex

@article{755c271385cf466fb75b417c1ea93bb7,
title = "Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling",
abstract = "Due to exponentially growing wireless applications and services, traffic demand is rapidly increasing. To cope with such growth, wireless network operators seek radio resource cooperation strategies for their users with the highest grade of service possible. In this paper, we propose a set of analytical models for dynamic spectrum access (DSA) to attain intranetwork resource sharing agreements and adopt such strategies by sharing radio resources. The proposed models focus on reducing blocking probability for a secondary network to attain wireless services as a tradeoff with a marginal increase in the blocking probability of a primary network in return for monetary rewards. We derived the global balance equation and an explicit expression of the blocking probability for each resource sharing model. The robustness of the proposed analytical models is evaluated under different scenarios by considering varying traffic intensities and different network sizes and adding reserved resources. The results show that the blocking probabilities can be significantly reduced with the proposed DSA framework in comparison to the existing local spectrum access schemes.",
author = "Raouf Abozariba and Md Asaduzzaman and Patwary, {Mohammad N.}",
note = "{\textcopyright}2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2017",
month = mar,
doi = "10.1109/TVT.2016.2582787",
language = "English",
volume = "66",
pages = "2433--2447",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Radio resource sharing framework for cooperative multioperator networks with dynamic overflow modeling

AU - Abozariba, Raouf

AU - Asaduzzaman, Md

AU - Patwary, Mohammad N.

N1 - ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2017/3

Y1 - 2017/3

N2 - Due to exponentially growing wireless applications and services, traffic demand is rapidly increasing. To cope with such growth, wireless network operators seek radio resource cooperation strategies for their users with the highest grade of service possible. In this paper, we propose a set of analytical models for dynamic spectrum access (DSA) to attain intranetwork resource sharing agreements and adopt such strategies by sharing radio resources. The proposed models focus on reducing blocking probability for a secondary network to attain wireless services as a tradeoff with a marginal increase in the blocking probability of a primary network in return for monetary rewards. We derived the global balance equation and an explicit expression of the blocking probability for each resource sharing model. The robustness of the proposed analytical models is evaluated under different scenarios by considering varying traffic intensities and different network sizes and adding reserved resources. The results show that the blocking probabilities can be significantly reduced with the proposed DSA framework in comparison to the existing local spectrum access schemes.

AB - Due to exponentially growing wireless applications and services, traffic demand is rapidly increasing. To cope with such growth, wireless network operators seek radio resource cooperation strategies for their users with the highest grade of service possible. In this paper, we propose a set of analytical models for dynamic spectrum access (DSA) to attain intranetwork resource sharing agreements and adopt such strategies by sharing radio resources. The proposed models focus on reducing blocking probability for a secondary network to attain wireless services as a tradeoff with a marginal increase in the blocking probability of a primary network in return for monetary rewards. We derived the global balance equation and an explicit expression of the blocking probability for each resource sharing model. The robustness of the proposed analytical models is evaluated under different scenarios by considering varying traffic intensities and different network sizes and adding reserved resources. The results show that the blocking probabilities can be significantly reduced with the proposed DSA framework in comparison to the existing local spectrum access schemes.

U2 - 10.1109/TVT.2016.2582787

DO - 10.1109/TVT.2016.2582787

M3 - Journal article

VL - 66

SP - 2433

EP - 2447

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 3

ER -