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Volume 39 Issue 4
Apr.  2017
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DAI Haibo, LU Wen, HUANG Yongming, YU Fei, YANG Lüxi. Energy-efficient Power Control Algorithm for D2D Communication[J]. Journal of Electronics & Information Technology, 2017, 39(4): 997-1001. doi: 10.11999/JEIT160553
Citation: DAI Haibo, LU Wen, HUANG Yongming, YU Fei, YANG Lüxi. Energy-efficient Power Control Algorithm for D2D Communication[J]. Journal of Electronics & Information Technology, 2017, 39(4): 997-1001. doi: 10.11999/JEIT160553

Energy-efficient Power Control Algorithm for D2D Communication

doi: 10.11999/JEIT160553
Funds:

The National 863 Program of China (2015AA 01A703), The National Natural Science Foundation of China (61372101, 61271018, 61422105), The Natural Science Foundation of State Grid of China (2015-0615-2298), The Scientific Research Foundation of Graduate School of Southeast University (3204006707)

  • Received Date: 2016-05-28
  • Rev Recd Date: 2016-11-03
  • Publish Date: 2017-04-19
  • To address the power control problem for Device-to-Device (D2D) communication in a cellular network to improve the cellular Energy Efficiency (EE), a weighted cellular EE problem is proposed and it is solved by using a game-theoretic learning approach. Specifically, by proposing a lower bound instead of the original optimization objective, it is proved that an exact potential game applies to the power control problem and its best Nash Equilibrium (NE) is the optimal solution of the lower bound. Then, the algorithm with low-complexity and fast convergence is designed. Finally, numerical results verify the effectiveness of the proposed scheme.
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