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    Neuro-fuzzy based joint relay-selection and resource-allocation for cooperative networks

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    Date
    2011-02
    Publisher
    © 2011 Transactions on Electrical Engineering, Electronics, and Communications
    Author
    Kaiser, M. Shamim
    Shah, Raza Ali
    Ahmed, Kazi M.
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/7079
    Citation
    Shamim Kaiser, M., Shah, R. A., & Ahmed, K. M. (2011). Neuro-fuzzy based joint relay-selection and resource-allocation for cooperative networks. Transactions on Electrical Engineering, Electronics, and Communications, 9(1), 187-194.
    Abstract
    This paper focuses on a joint relay-selection and resource-allocation algorithm for an Amplify-and-Forward (AF) cooperative network. In a multiuser scenario, joint relay selection and power allocation is a combinational problem for heterogeneous, i.e., real time (RT) and non-real time (NRT), users. In single relay AF (S-AF) scheme, a source-destination pair selects best relay. Thus only two channels are needed (i.e., one for source-destination direct link and other one for the source-relay-destination indirect link) between a source-destination pair. We propose a NeuroFuzzy (NF) based optimal relay selection algorithm for selecting best relay based on link's signal-to-noise ratio (SNR), link's delay and degree of mobility between a source-destination pair. The available radio resources are then allocated sub-optimally to the RT and NRT users on priority basis. The priority parameter depends on Quality-of-service (QoS) requirement of the RT and NRT users. We deduce a close form expression of the moment-generating-function (MGF) for independent and non identical Rayleigh fading channels. Performance evaluations reveal that the proposed joint scheme has lower complexity and better outage behavior as compared to the conventional schemes.
    Keywords
    Mamdani-adaptiveneuro-fuzzy inference system; Ofdma; Outage probability; Relay selection; Resource allocation
     
    Description
    This article was published in Transactions on Electrical Engineering, Electronics, and Communications [© 2011] The Journal's website is at: http://www.ecti-thailand.org/assets/papers/1096_pub_34.pdf
    Publisher Link
    http://www.ecti-thailand.org/assets/papers/1096_pub_34.pdf
    Department
    Department of Mathematics and Natural Sciences, BRAC University
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