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    Bandwidth and power allocation for two-way relaying in overlay cognitive radio systems

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    Type
    Conference Paper
    Authors
    Alsharoa, Ahmad M.
    Ghazzai, Hakim cc
    Yaacoub, Elias E.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2014-12
    Permanent link to this record
    http://hdl.handle.net/10754/565014
    
    Metadata
    Show full item record
    Abstract
    In this paper, the problem of both bandwidth and power allocation for two-way multiple relay systems in overlay cognitive radio (CR) setup is investigated. In the CR overlay mode, primary users (PUs) cooperate with cognitive users (CUs) for mutual benefits. In our framework, we propose that the CUs are allowed to allocate a part of the PUs spectrum to perform their cognitive transmission. In return, acting as an amplify-and-forward two-way relays, they are used to support PUs to achieve their target data rates over the remaining bandwidth. More specifically, CUs acts as relays for the PUs and gain some spectrum as long as they respect a specific power budget and primary quality-of-service constraints. In this context, we first derive closed-form expressions for optimal transmit power allocated to PUs and CUs in order to maximize the cognitive objective. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the optimal relay amplification gains and optimal cognitive released bandwidths as well. Our numerical results illustrate the performance of our proposed algorithm for different utility metrics and analyze the impact of some system parameters on the achieved performance.
    Citation
    Alsharoa, A., Ghazzai, H., Yaacoub, E., & Alouini, M.-S. (2014). Bandwidth and power allocation for two-way relaying in overlay cognitive radio systems. 2014 IEEE Global Communications Conference. doi:10.1109/glocom.2014.7036925
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2014 IEEE Global Communications Conference
    Conference/Event name
    2014 IEEE Global Communications Conference, GLOBECOM 2014
    ISBN
    9781479935116
    DOI
    10.1109/GLOCOM.2014.7036925
    ae974a485f413a2113503eed53cd6c53
    10.1109/GLOCOM.2014.7036925
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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