Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18–21, 2019, Proceedings

Research Article

Energy-Efficient Power Allocation for Fading Device-to-Device Channels in Downlink Resource Sharing Communication

  • @INPROCEEDINGS{10.1007/978-3-030-37262-0_14,
        author={Fengfeng Shi and Jiaheng Wang and Hong Shen and Chunming Zhao},
        title={Energy-Efficient Power Allocation for Fading Device-to-Device Channels in Downlink Resource Sharing Communication},
        proceedings={Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18--21, 2019, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2020},
        month={1},
        keywords={Device-to-Device Green communication Energy efficient Power allocation},
        doi={10.1007/978-3-030-37262-0_14}
    }
    
  • Fengfeng Shi
    Jiaheng Wang
    Hong Shen
    Chunming Zhao
    Year: 2020
    Energy-Efficient Power Allocation for Fading Device-to-Device Channels in Downlink Resource Sharing Communication
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-030-37262-0_14
Fengfeng Shi1,*, Jiaheng Wang1,*, Hong Shen1,*, Chunming Zhao1,*
  • 1: Southeast University
*Contact email: sff@seu.edu.cn, jhwang@seu.edu.cn, shhseu@seu.edu.cn, cmzhao@seu.edu.cn

Abstract

Green wireless communications have received increasing attentions from researchers, who committed to improving energy efficiency for the ubiquity of wireless applications. This paper deals with the power allocation strategies for nearby users’ high speed download services to effectively address the energy consumption of D2D communications underlying cellular systems. Energy efficiency maximization problems are analyzed with respect to ergodic sum capacity under different power constraint cases, relating to average power thresholds over all the fading stations and instantaneous power thresholds over each fading station of D2D transmission links and frequency-shared interference links. By applying the Dinkelbach method and the Lagrange duality method, the original intractable problems are decomposed into sub-dual functions that are lower complexity and solvable. Accordingly, we infer closed-form solutions of the proposed optimal problems, which resemble “water-filling” solutions for the parallel fading channels. Simulation results verify that the proposed strategies provide effective uses of limited energy.