|
|
|
| Energy-efficient Power Control Algorithm for D2D Communication |
| DAI Haibo① LU Wen② HUANG Yongming① YU Fei① YANG Lüxi① |
①(School of Information Science and Engineering, Southeast University, Nanjing 210096, China)
②(State Grid Nanjing Power Supply Company, Nanjing 210019, China) |
|
|
|
|
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.
|
|
Received: 28 May 2016
Published: 22 January 2017
|
|
|
| Fund: 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) |
|
Corresponding Authors:
YANG Lüxi
E-mail: lxyang@seu.edu.cn
|
|
|
|
| [1] |
TEHRANI M, UYSAL M, and YANIKOMEROGLU H. Device-to-device communication in 5G cellular networks: Challenges, solutions, and future directions[J]. IEEE Communication Magazine, 2014, 52(5): 86-92. doi: 10.1109/ MCOM.2014.6815897.
|
| [2] |
SONG Lingyang, NIYATO D, HAN Zhu, et al. Game- theoretic resource allocation methods for device-to-device communication[J]. IEEE Wireless Communications, 2014, 21(3): 136-144. doi: 10.1109/MWC.2014.6845058.
|
| [3] |
杨绿溪, 何世文, 王毅, 等. 面向5G无线通信系统的关键技术综述[J]. 数据采集与处理, 2015, 30(3): 469-485.
|
|
YANG Lüxi, HE Shiwen, WANG Yi, et al. Key technologies for 5G wireless communication system[J]. Journal of Data Acquisition and Processing, 2015, 30(3): 469-485.
|
| [4] |
ZHENG Jianchao, CAI Yueming, LIU Yongkang, et al. Optimal power allocation and user scheduling in multicell networks: Base station cooperation using a game-theoretic approach[J]. IEEE Transactions on Wireless Communications, 2014, 13(12): 6928-6942. doi: 10.1109/TW C.2014.2334673.
|
| [5] |
BUZZI S, COLAVOLPE G, SATURNINO D, et al. Potential games for energy-efficient power control and subcarrier allocation in uplink multicell OFDMA systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2012, 6(2): 89-103. doi: 10.1109/JSTSP.2011.2177069.
|
| [6] |
NGO H Q, LARSSON E, and MARZETTA T. Energy and spectral efficiency of very large multiuser MIMO systems[J]. IEEE Transactions on Communications, 2013, 61(4): 1436-1449. doi: 10.1109/TCOMM.2013.020413.110848.
|
| [7] |
DAI Haibo, HUANG Yongming, and YANG Luxi. Game theoretic max-logit learning approaches for joint base station selection and resource allocation in heterogeneous networks [J]. IEEE Journal on Selected Areas in Communications, 2015, 33(6): 1-14. doi: 10.1109/JSAC.2015.2416988.
|
| [8] |
MONDERER D and SHAPLEY L S. Potential games[J]. Games and Economic Behavior, 1996, 14(1): 124-143.
|
|
|
|
