A non-cooperative game approach is employed to optimize the energy efficiency (EE) for multi-user cognitive radio over multi-input-multi-output (MIMO) interference channels (ICs). Both the per-secondary-user (SU) power constraints and the total interference threshold are taken into consideration in the problem formulation. Although optimizing EE for the formulated multi-constraint fractional problem is non-convex and multi-objective, we show that it can be reformulated as an equivalent multi-objective unconstrained non-fractional problem. A distributed iterative EE optimization algorithm (DIEEOA) for multi-user cognitive radio over MIMO ICs is proposed to achieve the Nash Equilibrium of the non-cooperative game. Effectiveness of the algorithm is validated through computer simulation, and system parameters' impact on the EE is discussed.


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    Title :

    Game Theory-Based Energy Efficiency Optimization for Multi-User Cognitive Radio over MIMO Interference Channels


    Contributors:
    Han, Shujun (author) / Lu, Yanhui (author) / Yang, Shouyi (author) / Mu, Xiaomin (author) / Wang, Ning (author)


    Publication date :

    2016-09-01


    Size :

    370449 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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