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下行MIMO系统能效最优的功率分配 被引量：2

Optimal Energy Efficient Power Allocation for Downlink MIMO System
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摘要 为了降低无线通信网耗能而引起的二氧化碳排放量和运营商运营资本,提出了一种下行多输入多输出系统能效最优的功率分配方案.根据实际能耗模型与波束赋形建立了系统能效模型,证明了系统存在唯一的全局最优能效,并且给出了最优能效的闭式解,此解与信道状态信息有关.基于此闭式解形成的功率分配方案可以自适应地完成系统最优能效.仿真结果表明,自适应功率分配方案能增加系统的能效和谱效,增加天线数量和减小小区半径是提高系统能效和谱效的重要手段. In order to decrease the carbon emission and operator expenditure induced by energy consump- tion of wireless communication networks, a power allocation scheme achieving optimal energy efficiency is proposed for downlink multiple-input muhiple-output system. An energy efficient model is formulated based on realistic power consumption model and beam forming. The existence of unique globally optimal energy efficiency is proved, and the closed-from of the optimal energy efficiency is derived depending on channel state information. Based on the closed-form result, an iterative algorithm achieving optimal ener- gy efficiency adaptively is developed. Simulation shows that the proposed scheme can improve the energy efficiency and spectrum efficiency. Meanwhile, increasing the number of antennas and shrinking cell ra- dius are two important measures to enhance the energy efficiency and the spectrum efficiency.
作者 赵龙 龙航 赵慧 郑侃 王文博
机构地区 北京邮电大学泛网无线通信教育部重点实验室
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2013年第4期39-43,共5页 Journal of Beijing University of Posts and Telecommunications
基金 国家科技重大专项项目(2012ZX03004004) 国家自然科学基金项目(61271183) 北京邮电大学青年科研创新计划专项项目(2013RC0116)
关键词 多输入多输出系统 能效 谱效 功率分配 multiple-input multiple-output system energy efficiency spectrum efficiency power alloca-tion
分类号 TN911 [电子电信—通信与信息系统]
  • 相关文献

参考文献7

  • 1Hasan Z, Boostanimehr H, Bhargava V. Green cellular networks: a survey, some research issues and challenges [J]. IEEE CommunSurvTutorials, 2011, 13(4): 524- 540.
  • 2Zheng Kan, Mischa D, Wang Yuyu, et al. Energy-effi- cient wireless in-home: the need for interference-con- trolled femtocells [ J ]. IEEE Wireless Commun, 2011 , 18(6) : 36-44.
  • 3戴翠琴,蒋丽,陈前斌,王光宇.自适应调制和HARQ跨层设计的中继协作系统能耗[J].北京邮电大学学报,2012,35(4):103-106. 被引量：5
  • 4Heliot F, Imran M, Tafazolli R. On the energy efficien- cy-spectral efficiency trade-off over the MIMO rayleigh fa- ding channel[J]. IEEE Trans Commun, 2012, 60(5): 1345-1356.
  • 5He Chunlong, Sheng Bin, Zhu Pengcheng, et al. Energy efficiency and spectral efficiency tradeoff in downlink dis- tributed antenna systems [ J]. IEEE Wireless Commun Lett, 2012, 1(3): 153-156.
  • 6Corless R, Gonnet G, Hare D, et al. On the lambert w function[J]. Adv Comput Math, 1996, 5 (4) : 329- 359.
  • 7Boyd S, Vandenberghe L. Convex optimization [ M 1 New York: Cambridge University Press, 2004 : 100-101 103, 215-230.

二级参考文献8

  • 1Cui Shuguang, Goldsmith A J, Bahai A. Energy-con- strained modulation optimization [ J ]. IEEE Transactions on Wireless Communications, 2005, 4 (5) : 2349-2360.
  • 2Costa F M, Ochiai H. A comparison of modulations for energy optimization in wireless sensor networks links [ C ] //IEEE GLOBECOM 2010. Miami: IEEE Press, 2010: 1-5.
  • 3Stanojev I, Simeone O, Yeheskel B. Energy efficiency of non-collaborative and collaborative Hybrid-ARQ protocols [ J ]. IEEE Transactions on Wireless Communications, 2009, 8(1): 326-335.
  • 4Su Weifeng, Lee S, Pados D. Optimal power assignment for minimizing the average total transmission power in hy- brid-ARQ Rayleigh fading links [ J ]. IEEE Transactions on Wireless Communications, 2011, 58(12) : 1-11.
  • 5Prabhu R,Daneshrad B. Energy minimization of a QAM system with fading [ J]. IEEE Transactions on Wireless Communications, 2008, 7 (12) : 4837-4842.
  • 6Ashok k, Dionin D, Bhargava V. Cross-layer rate and power adaption strategies for IR-HARQ systems over fa- ding channels with memory: a SMDP-based approach [ J]. IEEE Transactions on Communications, 2008, 56 (8) : 1352-1364.
  • 7Ahmed I, Shah S, Ahmad J. Truncated ARQ based MRC over OSTBC cooperative communication for energy con- strained wireless networks [ C ] //J ACM IWCMC 2009. New York : ACM Press, 2009 : 1-5.
  • 8Cioffi J. Digital communications[ M ]. Stanford: Stanford University Press, 2001.

共引文献4

同被引文献17

  • 1Li Ye,Xu Zhikun,Xiong Cong,et al.Energy-efficient wireless communications: tutorial,survey,and open is- sues [ J ].IEEE Wireless Communication Magazine,2011,18(6): 28-35.
  • 2Shen Zukang,Andrews J G,Evans B L.Adaptive re- source allocation in muhiuser OFDM systems with propor- tional rate constraints[J].IEEE Transaction on Wireless Communications,2005,4(6): 2726-2737.
  • 3Yu Wei,Lan Tian.Transmitter optimization for the multi-antenna downlink with pre-antenna power con- straints [ J ].IEEE Transaction on Signal Processing,2007,55 (6) : 2646-2660.
  • 4Ren Zhanyang,Chen Shanzhi,Hu Bo,et al.Energy-ef- ficient resource allocation in downlink OFDM wireless systems with proportional Transaction on Vehicular rate constraints [J] Technology,2014,63 IEEE (5):2139-2150.
  • 5Xu Jian,Kim J Y,Park W K,et al.Adaptive resource allocation algorithm with fairness for MIMO-OFDMA sys- tem [ C ] //J VTC2006 -Spring.Melbourne: IEEE Press,2006 : 1-5.
  • 6Ge Xiaohu,Huang Xi,Wang Yuming,et al.Energy-ef- ficiency optimization for MIMO-OFDM mobile multimedia communication systems with QoS constraints [ J ].IEEE Transaction on Vehicular Technology,2014,63 ( 5 ) : 2127-2138.
  • 7Tse D,Prramod V.Fundamentals of wireless communica- tion [ M ].London: Cambridge University Press,2005.
  • 8Xiong Cong,Li Ye,Zhang Shugong,ct al.Energy-effi- cient resource allocation in OFDMA networks [ J].IEEE Transaction on Communication,2012,60 (12) : 3874- 3886.
  • 9Boyd S,Vandeberghe L.Convex optimization [ M ].London: Cambridge University Press,2004.
  • 10Isheden C,Chong Z,Jorswieck E,et al.Framework for link-level energy efficiency optimization with informed transmitter [J].IEEE Transaction on Wireless Commu- nications,2011,11(8): 2946-2957.

引证文献2

二级引证文献3

北京邮电大学学报
2013年 第4期

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