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IEEE 802.11n系统中自适应混合优化功率分配算法

Adaptive hybrid optimization power allocation algorithm in IEEE 802.11n system
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摘要 为解决IEEE 802.11n系统中的功率浪费现象,提出了一种先注水后调和平均值(first-water filling-last-harmonic,FWLH)的自适应混合优化功率分配算法。首先利用注水算法(water-filling algorithm)计算判别信道质量的阈值,对阈值以下的信道关闭不分配功率,对阈值以上的信道采用调和平均值算法(harmonic algorithm,HARM)进行功率分配。仿真表明,在误码率方面,FWLH算法比注水算法和HARM算法分别降低了大约100倍和20倍,使用FWLH算法的系统容量优于HARM算法,与使用注水算法的系统容量十分接近。 In order to solve the problem of wasting power, proposed a novel adaptive hybrid optimization power allocation algorithm named first-water filling-last-harmonic (FWLH) . Adopted in FLWH algorithm, water-filling algorithm to compute the threshold which was used to estimate the quality of the sub-channels and Harmonic algorithm (HARM) was used to close the sub-channels below the threshold and allocate the power to the ones above the threshold. Simulation results show that the system capacity with FWLH algorithm is quite close to water-filling algorithm and superior to HARM algorithm, furthermore, the system BER ( bit error ratio) with FWLH algorithm is about 100 times lower than that of with water-filling algorithm and about 20 times lower than that of with HARM algorithm.
出处 《计算机应用研究》 CSCD 北大核心 2009年第9期3478-3480,3483,共4页 Application Research of Computers
基金 重庆市自然科学基金资助项目(CSTC:2006BB2163)
关键词 注水算法 调和平均值算法 混合优化功率分配算法 自适应 功率分配 water-filling algorithm harmonic algorithm ( HARM ) hybrid optimization algorithm adaptive power allocation
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参考文献9

  • 1IBRAHIM Y, ABUALHAOL, MUSTAFA M. Subchannel-division adaptive resource allocation technique for cooperative relay-based MI- MO/OFDM wireless communication systems[ C]//Proc of Wireless Communications and Networking Conference. Las Vegas:IEEE Press, 2008 : 1002-1007.
  • 2STUBER G L, BARRY J R, McLAUGHLIN S W, et al. Broadband MIMO-OFDM wireless communications [ J]. Proc of th6 IEEI=, 2004, 92(2) : 271-294.
  • 3BO Hong, PRASANNA V K. Adaptive allocation of independent tasks to maximize throughput [ J]. IEEE Trans on Parallel and Distributed Systems, 2007, 18 (10) : 1420-1435.
  • 4YA Han-pan, AISSA S. Dynamic resource allocation with beamfonning for MIMO OFDM systerm: performance and effects of imperfect CSI [J]. IEEE Tmns on Wireless Communications, 2007, 6(12) : 4249-4255.
  • 5曾浩,林云.MIMO-OFDM系统功率分配研究[J].电路与系统学报,2007,12(3):124-127. 被引量:1
  • 6吴舟,赵春晖.MIMO系统中的交叉优化调度算法[J].电子与信息学报,2008,30(3):634-637. 被引量:2
  • 7刘辉,李国庆.基于OFDM的无线宽带网络设计与优化[M].西安:西安交通大学出版社,2008.
  • 8LAI Guo-ting, YIN Jun-xun, LIN Fan, et al. Performance of adaptive bit and power allocation MIMO-OFDM system based on greedy algorithm [ C ]//Proc of International Conference on Wireless Communications, Networking and Mobile Computing. 2005:44-49.
  • 9COVER T M, THOMAS J A. Elements of information theory (wiley series in telecommunications and signal processing)[ M]. Malden, Journal Customer Services, 2006.

二级参考文献12

  • 1E Telater.Capacity of multi antenna Gaussian channel[J].Eur.Trans.Telecomm,1999,10(6):585-595.
  • 2G Foschini,M Gans.On limits of wireless communication in a fading environment when using multiple antennas[J].Wireless Pers.Comm,1998,6(3):311-335.
  • 3802.16c.IEEE standard for local and metropolitan area networks Part 16:Air Interface for Fixed Broadband Wireless Access Systems[S].2001.
  • 4Kai-Kit Wong,Roger S K Cheng,Khaled Ben Letaief,Ross D Murch.Adaptive antennas at the mobile and base stations in an OFDM/TDMA System[J].IEEE Transations on communication,2001,49(1).
  • 5Tarokh V, codes for performance Information Seshadri N, and Calderbank A R. Space-time high data rate wireless communication: criterion and code construction. IEEE Trans. on Theory, 1998, 44(2): 744-765.
  • 6Foschini G J and Gans M J. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Commun, 1998, 6(3): 315-335.
  • 7Heath Jr R W, Sandhu S, and Paulraj A J. Antenna selection for spatial multiplexing systems with linear receivers. IEEE Communications Letters, 2001, 5(4): 142-144.
  • 8Lucent Technologies. Throughput simulations for MIMO and transmit diversity enhancements to HSDPA. 3GPP TSG RAN WG1, TSGR#IT, Nov. 2000.
  • 9Heath Jr R W, Airy M, and Paulraj A J. Multiuser diversity for MIMO wireless systems with linear receivers, in Proc. IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2001:1194 1199.
  • 10Choi Y J, Kim J, and Bahk S. Downlink scheduling with fairness and optimal antenna assignment for MIMO cellular systems. IEEE Communications Society, Globecom Dallas Texas, USA, 2004: 3165-3169.

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