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    Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays

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    Type
    Conference Paper
    Authors
    Alsharoa, Ahmad M.
    Ghazzai, Hakim cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2014-06
    Permanent link to this record
    http://hdl.handle.net/10754/564933
    
    Metadata
    Show full item record
    Abstract
    In this paper, the problem of power allocation for a multiple-input multiple-output two-way system is investigated in underlay Cognitive Radio (CR) set-up. In the CR underlay mode, secondary users are allowed to exploit the spectrum allocated to primary users in an opportunistic manner by respecting a tolerated temperature limit. The secondary networks employ an amplify-and-forward two-way relaying technique in order to maximize the sum rate under power budget and interference constraints. In this context, we formulate an optimization problem that is solved in two steps. First, we derive a closed-form expression of the optimal power allocated to terminals. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the power allocated to secondary relays. Simulation results demonstrate the efficiency of the proposed solution and analyze the impact of some system parameters on the achieved performance. © 2014 IEEE.
    Citation
    Alsharoa, A., Ghazzai, H., & Alouini, M.-S. (2014). Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays. 2014 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2014.6883547
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2014 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2014 1st IEEE International Conference on Communications, ICC 2014
    ISBN
    9781479920037
    DOI
    10.1109/ICC.2014.6883547
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2014.6883547
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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