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Volume 42 Issue 12
Dec.  2020
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Zhihong QIAN, Wujie MENG, Xue WANG, Liangshuai HU, Xin WANG. Research on Power Allocation Algorithm of Multi-to-One Multiplexing D2D Communication Underlaying Full Load Cellular Networks[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2939-2945. doi: 10.11999/JEIT190974
Citation: Zhihong QIAN, Wujie MENG, Xue WANG, Liangshuai HU, Xin WANG. Research on Power Allocation Algorithm of Multi-to-One Multiplexing D2D Communication Underlaying Full Load Cellular Networks[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2939-2945. doi: 10.11999/JEIT190974

Research on Power Allocation Algorithm of Multi-to-One Multiplexing D2D Communication Underlaying Full Load Cellular Networks

doi: 10.11999/JEIT190974
Funds:  The National Natural Science Foundation of China (61771219), The Fundamental Research of Jilin University (SXGJQY2017-9, 2017TD-19)
  • Received Date: 2019-12-03
  • Rev Recd Date: 2020-05-22
  • Available Online: 2020-07-14
  • Publish Date: 2020-12-08
  • Considering power allocation of D2D (Device to Device) communication in fully loaded cellular networks, a multi-to-one multiplexing D2D communication power allocation algorithm based on the Nash equilibrium solution of non-cooperative complete information game is proposed. The communication quality of cellular users and the access rate of D2D users are guaranteed first, and the uplink frame structure of D2D communication system is given. Then, the non-cooperative complete information game model is established. After that, the pricing mechanism is introduced into the power distribution game model, and the existence and uniqueness of the Nash equilibrium solution are analyzed. Finally, the paper gives a distributed iterative algorithm for the model. The simulation results show that with the increase of the number of D2D pairs, the algorithm not only improves the system throughput, but also controls the internal interference of the system effectively, reduces the total energy consumption of the system greatly.

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