D2D通信系統(tǒng)中節(jié)能功率控制算法
doi: 10.11999/JEIT160553 cstr: 32379.14.JEIT160553
-
1.
(東南大學(xué)信息科學(xué)與工程學(xué)院 南京 210096) ②(國網(wǎng)南京供電公司 南京 210019)
基金項(xiàng)目:
國家863計(jì)劃項(xiàng)目(2015AA01A703)，國家自然科學(xué)基金(61372101, 61271018, 61422105)，國家電網(wǎng)公司科技項(xiàng)目(2015- 0615-2298)，東南大學(xué)研究生院科研基金(3204006707)
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: 針對(duì)設(shè)備到設(shè)備(D2D)通信的功率控制問題，該文提出一種帶有權(quán)重的優(yōu)化異構(gòu)小區(qū)能效的目標(biāo)以及在該問題下一個(gè)基于博弈理論的學(xué)習(xí)方法。具體地，在利用一個(gè)下界表達(dá)式代替原始優(yōu)化目標(biāo)的情況下，建模這個(gè)功率控制問題為一個(gè)勢博弈模型，并且證明它的最優(yōu)納什均衡點(diǎn)就是優(yōu)化下界的最優(yōu)解。最后，為了找到這個(gè)最優(yōu)的納什均衡點(diǎn)，設(shè)計(jì)一個(gè)低復(fù)雜度和快速收斂的學(xué)習(xí)算法。仿真結(jié)果表明該文提出方法的可行性和有效性。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.
-
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. 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. 楊綠溪, 何世文, 王毅, 等. 面向5G無線通信系統(tǒng)的關(guān)鍵技術(shù)綜述[J]. 數(shù)據(jù)采集與處理, 2015, 30(3): 469-485. YANG Lxi, 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. 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. 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. 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. 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. MONDERER D and SHAPLEY L S. Potential games[J]. Games and Economic Behavior, 1996, 14(1): 124-143. -
計(jì)量
- 文章訪問數(shù): 1408
- HTML全文瀏覽量: 212
- PDF下載量: 464
- 被引次數(shù): 0
下載:
