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Volume 39 Issue 10
Oct.  2017
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QU Hua, ZHU Zhengcang, ZHAO Jihong, TANG Rui, WANG Luyao, CAO Zhaoxin. Energy-efficient Joint Relay Selection and Resource Allocation Scheme for Mobile Relay Aided Device-to-device Communication[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2464-2471. doi: 10.11999/JEIT161359
Citation: QU Hua, ZHU Zhengcang, ZHAO Jihong, TANG Rui, WANG Luyao, CAO Zhaoxin. Energy-efficient Joint Relay Selection and Resource Allocation Scheme for Mobile Relay Aided Device-to-device Communication[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2464-2471. doi: 10.11999/JEIT161359

Energy-efficient Joint Relay Selection and Resource Allocation Scheme for Mobile Relay Aided Device-to-device Communication

doi: 10.11999/JEIT161359
Funds:

The National Natural Science Foundation of China (61372092, 61531013), The National 863 Program of China (2014AA01A707), The Natural Science Foundation of Jiangsu Province (BK20141214), The Research Fund of Ministry of Education-China Mobile (MCM20150102)

  • Received Date: 2016-12-13
  • Rev Recd Date: 2017-04-06
  • Publish Date: 2017-10-19
  • In mobile relay-aided Device-to-Device (D2D) communication, the co-channel interference between D2D links and the existing links is inevitable due to spectral reuse. Besides, considering the limited battery lifetime of mobile terminals, a joint Power Control (PC), Channel Assignment (CA), and MR-selection scheme is proposed to maximize the global energy efficiency of MR-aided D2D communication. By exploring the property of fraction programming, the original problem can be transferred into solving a sequence of parametric programming problems via the Dinkelbach method. Besides, each parametric programming problem can be decomposed into two subproblems, i.e., the PC subproblem and the joint CA and MR selection subproblem. Moreover, the former turns out to be the Difference-of-Concave (DC), programming which is generally NP-hard, but it can be well addressed by sequential convex optimization technique. Based on the above results, the latter reduces to the bipartite matching problem which can be optimally solved by the Hungarian algorithm in polynomial time. Simulation results verify the efficacy of the proposed scheme.
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