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A radio resource management framework for opportunistic TVWS access

Published: 25 October 2012 Publication History

Abstract

This paper elaborates on the design, implementation and performance evaluation of a prototype Radio Resource Management (RRM) framework for opportunistic TV white spaces (TVWS) exploitation, under an auction-based approach. The proposed RRM framework is applied in a centralised Cognitive Radio (CR) network architecture, where exploitation of the available TVWS by Secondary Systems is orchestrated via a Spectrum Broker. Efficient RRM framework performance, as a matter of maximum-possible resources utilization and benefit of Spectrum Broker, is achieved by proposing, implementing and evaluating an auction-based algorithm. This auction-based algorithm considers both frequency and time domain during TVWS allocation process which is defined as an optimization problem, where maximum payoff of Spectrum Broker is the optimization goal. Experimental tests that were carried-out under controlled conditions environment, verified the validity of the proposed framework, besides identifying fields for further research.

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    cover image ACM Conferences
    HP-MOSys '12: Proceedings of the 1st ACM workshop on High performance mobile opportunistic systems
    October 2012
    88 pages
    ISBN:9781450316293
    DOI:10.1145/2386980
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 October 2012

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    Author Tags

    1. TVWS access
    2. centralized network architectures
    3. opportunistic cognitive radio systems
    4. radio resource management algorithms
    5. spectrum broker

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    Cited By

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    • (2019)Intent‐based service management for heterogeneous software‐defined infrastructure domainsInternational Journal of Network Management10.1002/nem.205129:1Online publication date: 11-Jan-2019
    • (2019)Optimal management of reusable functional blocks in 5G superfluid networksInternational Journal of Network Management10.1002/nem.204529:1Online publication date: 11-Jan-2019
    • (2019)Smashing OpenFlow's “atomic” actionsInternational Journal of Network Management10.1002/nem.204329:1Online publication date: 11-Jan-2019
    • (2019)DDoS protection with stateful software‐defined networkingInternational Journal of Network Management10.1002/nem.204229:1Online publication date: 11-Jan-2019
    • (2014)Performance analysis of reactive routing protocols in Mobile Ad hoc Networks2014 International Conference on Telecommunications and Multimedia (TEMU)10.1109/TEMU.2014.6917744(104-110)Online publication date: Jul-2014
    • (2014)Virtual Network Functions exploitation through a prototype resource management framework2014 International Conference on Telecommunications and Multimedia (TEMU)10.1109/TEMU.2014.6917730(24-28)Online publication date: Jul-2014
    • (2014)Measurements on Modern Wireless Communication Technologies and Estimation of Human ExposureResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_5(115-130)Online publication date: 2014
    • (2014)Spectrum Trading in Cognitive Radio Networks: Challenges and SolutionsResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_15(341-357)Online publication date: 2014
    • (2014)Adaptive Heuristic-Based P2P Network Connectivity and Configuration for Resource AvailabilityResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_10(221-240)Online publication date: 2014
    • (2014)An energy-preserving spectrum access strategy in mobile cognitive radio networksTransactions on Emerging Telecommunications Technologies10.1002/ett.277525:8(865-874)Online publication date: 1-Aug-2014
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