Energy-efficient resource allocation for device-to-device communication with WPT

Haibo Dai; Yongming Huang; Chunguo Li; Shidang Li; Luxi Yang

Energy-efficient resource allocation for device-to-device communication with WPT

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Author(s): Haibo Dai ¹ ; Yongming Huang ¹ ; Chunguo Li ¹ ; Shidang Li ¹ ; Luxi Yang ¹
- Affiliations: 1: School of Information Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China; the Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, People's Republic of China
Source: Volume 11, Issue 3, 16 February 2017, p. 326 – 334
DOI: 10.1049/iet-com.2015.1192 , Print ISSN 1751-8628, Online ISSN 1751-8636

Received 15/12/2015, Accepted 27/07/2016, Revised 16/06/2016, Published 16/02/2017

In this study, the authors address the downlink resource (subchannels and power) allocation problem for device-to-device communication with wireless power transfer technique in a cellular network to improve the energy efficiency (EE). The considered problem is formulated as maximising the weighted EE and is solved by leveraging a game-theoretic learning approach. Specifically, they first prove that an exact potential game applies to the resource allocation problem and there exists the best Nash equilibrium (NE) which is the optimal solution of the optimisation problem. Then, aiming to this optimisation problem with imperfect information, a robust and distributed learning algorithm is proposed and is proved that it can converge to the best NE. Finally, numerical results verify the effectiveness of the proposed scheme.

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