ew 15(4): e4

Research Article

Energy-efficient Joint Power Allocation and Channel Selection for D2D Communications

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  • @ARTICLE{10.4108/icst.mobimedia.2015.259177,
        author={Guifang Ma and Zhenyu Zhou and Jinfang Bai},
        title={Energy-efficient Joint Power Allocation and Channel Selection for D2D Communications},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={2},
        number={4},
        publisher={EAI},
        journal_a={EW},
        year={2015},
        month={8},
        keywords={energy-efficiency, d2d, resource allocation, game theory, dinkelbach method},
        doi={10.4108/icst.mobimedia.2015.259177}
    }
    
  • Guifang Ma
    Zhenyu Zhou
    Jinfang Bai
    Year: 2015
    Energy-efficient Joint Power Allocation and Channel Selection for D2D Communications
    EW
    EAI
    DOI: 10.4108/icst.mobimedia.2015.259177
Guifang Ma1,*, Zhenyu Zhou1, Jinfang Bai1
  • 1: North China Electric Power University
*Contact email: mgfxiamu@163.com

Abstract

Device-to-device (D2D) communications have gained great attentions due to the potential and numerous benefits for cellular networks. However,it also brings tremendous resource allocation challenges for the sake of the constraint of battery life. Up to now, there are limited works attempt to prolong the battery life by improving the energy efficiency (EE). In this paper, we study how to perform resource allocation to increase EE in a interference limited environment under a noncooperative game model. Each D2D pair can reuse all or part of the channel resources allocated to cellular users. An energy-efficient joint power allocation and channel selection is proposed by employing the nonlinear fractional programming. We obtain the optimal power allocation and channel selection through an iterative algorithm called Dinkelbach method. Finally, the algorithm proposed in this paper is verified by simulation.