Radio Resource Sharing Framework for Cooperative Multi-operator Networks with Dynamic Overflow Modelling
ASADUZZAMAN, Md, ABOZARIBA, Raouf and PATWARY, Mohammad (2016) Radio Resource Sharing Framework for Cooperative Multi-operator Networks with Dynamic Overflow Modelling. IEEE Transactions on Vehicular Technology, 66 (3). pp. 2433-2437. ISSN 0018-9545
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Abstract or description
Due to the exponentially growing wireless services and application demand as well as the heterogeneity of the same, wireless network operators are expected to be seeking for radio resource co-operation strategies to the user group with the highest possible quality of experience (QoE). In this paper we have proposed an analytical framework for dynamic spectrum access (DSA) to adopt such cooperation within intra-network as well as inter-network operators scenarios, while sharing radio resources; assuming radio resource sharing agreement is in place. The proposed model focused onto reducing global blocking probability within a given geographical area to attain wireless services as a trade-off with increased blocking probability within local (individual network operator specific) network blocking probability; yet lower than the acceptable threshold. We derived the global balance equation and found an explicit expression of the blocking probability for each resource sharing model presented in this paper. The robustness of the proposed analytical framework is evaluated under three application specific scenarios considering various traffic intensity on demand as well as a set of global reserved resources (within one of the application specific scenarios). The results show that within a geographical area, the blocking probabilities can be reduced up to 60\% with the proposed DSA framework in comparison to the existing local spectrum access schemes.
Item Type: | Article |
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Faculty: | Previous Faculty of Computing, Engineering and Sciences > Computing |
Depositing User: | Jocey BRACEGIRDLE |
Date Deposited: | 12 Jun 2017 13:01 |
Last Modified: | 24 Feb 2023 03:48 |
URI: | https://eprints.staffs.ac.uk/id/eprint/3221 |
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