D2D通信系统中节能功率控制算法

代海波; 陆忞; 黄永明; 俞菲; 杨绿溪

doi:10.11999/JEIT160553

D2D通信系统中节能功率控制算法

doi: 10.11999/JEIT160553

1.
(东南大学信息科学与工程学院南京 210096) ②(国网南京供电公司南京 210019)

基金项目:

国家863计划项目(2015AA01A703)，国家自然科学基金(61372101, 61271018, 61422105)，国家电网公司科技项目(2015- 0615-2298)，东南大学研究生院科研基金(3204006707)

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出版历程
- 收稿日期: 2016-05-28
- 修回日期: 2016-11-03
- 刊出日期: 2017-04-19

Energy-efficient Power Control Algorithm for D2D Communication

1.
(School of Information Science and Engineering, Southeast University, Nanjing 210096, China)
2.
(State Grid Nanjing Power Supply Company, Nanjing 210019, China)

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)

摘要

摘要: 针对设备到设备(D2D)通信的功率控制问题，该文提出一种带有权重的优化异构小区能效的目标以及在该问题下一个基于博弈理论的学习方法。具体地，在利用一个下界表达式代替原始优化目标的情况下，建模这个功率控制问题为一个势博弈模型，并且证明它的最优纳什均衡点就是优化下界的最优解。最后，为了找到这个最优的纳什均衡点，设计一个低复杂度和快速收敛的学习算法。仿真结果表明该文提出方法的可行性和有效性。
- D2D通信 /
- 能量效率 /
- 功率控制 /
- 势博弈
Abstract: 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.
- Device-to-Device (D2D) communication /
- Energy Efficiency (EE) /
- Power control /
- Potential game

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参考文献(9)

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