详细信息

Energy-Efficient Transmission Rate Selection and Power Control for Relay-Assisted Device-to-Device Communications Underlaying Cellular Networks  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Energy-Efficient Transmission Rate Selection and Power Control for Relay-Assisted Device-to-Device Communications Underlaying Cellular Networks

作者:Zhang, Zitian[1];Wu, Yue[1];Chu, Xiaoli[2,3];Zhang, Jie[2,3]

机构:[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 4ET, S Yorkshire, England;[3]Ranplan Wireless, Cambridge, England

年份:2020

卷号:9

期号:8

起止页码:1133

外文期刊名:IEEE WIRELESS COMMUNICATIONS LETTERS

收录:;EI(收录号:20203409078816);WOS:【SCI-EXPANDED(收录号:WOS:000556769300001)】;

基金:This work was supported in part by the EU's H2020 Research and Innovation Programme under Grant 778305 and Grant 843401. The associate editor coordinating the review of this article and approving it for publication was M. Sheng.

语种:英文

外文关键词:Device-to-device communication; Interference; Relays; Energy consumption; Pins; Power control; Game theory; Relay-assisted D2D communication; transmission rate selection; power control; transmission energy consumption

摘要:Device-to-device (D2D) communication underlaying cellular networks is seen as a promising technology for future communication systems, especially when relays are employed to extend the range of D2D links. However, the mutual interference between the spectrum-sharing D2D links and conventional cellular (CC) links is still the dominating performance limiting factor, which enforces those links to adopt higher transmission power. As energy saving is always one of the key concerns, we propose to minimize the total transmission energy consumption of a relay-assisted D2D link and a CC link sharing radio resources by jointly optimizing their transmission rate selection and power control (TRSPC). We formulate the optimization problem as a non-convex non-linear programming (NLP) problem and then develop a game theory based distributed approach to solve it. Simulation results demonstrate that our game theory based TRSPC approach can enormously decrease the total transmission energy consumption compared with existing works.

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