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

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Ad Hoc Networks (ADHOCNETS 2019)

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.

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Acknowlegment

This work was supported in part by the National Natural Science Foundation of China under Grants 61601115, 61871108, 61971130, 61571107, 61711540305, and 61720106003, in part by the National Science and Technology Projects of China under grant 2018ZX03001002, and in part by the Natural Science Foundation of Jiangsu Province under Grant BK20160069.

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Correspondence to Hong Shen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shi, F., Wang, J., Shen, H., Zhao, C. (2019). Energy-Efficient Power Allocation for Fading Device-to-Device Channels in Downlink Resource Sharing Communication. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-37262-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37261-3

  • Online ISBN: 978-3-030-37262-0

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