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一种基于延时信道状态信息的MIMO-OFDM系统自适应功率分配算法 被引量:1

An adaptive power allocation algorithm using delayed channel state information for MIMO-OFDM systems
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摘要 在基于正交频分复用的多输入多输出(multiple-input-multiple-output-orthogonal frequency divided multiplexing,MIMO-OFDM)系统中,适当的功率分配方案能够显著提高系统吞吐量,但是其复杂度往往较高。研究MIMOOFDM系统的自适应功率分配问题。以系统的和速率最大化为目标,根据延时的信道状态信息在所有空间子信道之间分配功率,同时满足各子信道的误码率约束与系统总功率约束。根据MIMO空间子信道的特点提出了一种复杂度很低的功率分配算法,并分析了算法复杂度。在IMT-2000信道中的仿真表明,提出算法的性能优于已有的次佳算法。 Appropriate power allocation schemes can increase the throughput considerably in MIMO (multiple-input-muhi- pie-output)-OFDM( orthogonal frequency divided multiplexing) systems, but usually with highly computational complexity. The problem of adaptive power allocation is addressed for MIMO-OFDM systems in this paper. Aiming to maximize the sys- tem sum-rate, the overall power is allocated among spatial subchannels based on delayed channel state information; at the same time the total power constraint and bit-error-rate requirements are satisfied. A power allocation algorithm with low complexity is proposed on the basis of the characteristic of spatial subchannels. Then its computational complexity is ana- lyzed. Simulations in IMT-2000 channels demonstrate that the proposed algorithm outperforms existing sub-optimal algo- rithms.
作者 刘敏 曹张华
出处 《重庆邮电大学学报(自然科学版)》 CSCD 北大核心 2013年第6期743-747,761,共6页 Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金 国家自然科学基金(61071086) 江苏省高校自然科学基金(10KJB510020)~~
关键词 多输入多输出(MIMO) 正交频分复用(OFDM) 功率分配 信道状态信息 multiple-input-multiple-output (MIMO) orthogonal frequency divided multiplexing (OFDM) power alloca- tion delayed channel state information
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参考文献11

  • 1TORABI M, HACCOUN D, AJIB W. Performance analy- sis of scheduling schemes for rate-adaptive MIMO OSF- BC-OFDM systems [ J]. IEEE Transactions on Vehicular Technology, 2010, 59(5): 2363-2379.
  • 2OBORINA A, MOISIO M, KOIVUNEN V. Performance of mobile MIMO OFDM systems with application to UT- RAN LTE downlink [ J ]. IEEE Transactions on Wireless Communications, 2012, 11 (8) : 2696-2706.
  • 3ZHOU S, GIANNAKIS G B. Adaptive modulation for multiantenna transmissions with channel mean feedback [ J]. IEEE Transactions on Wireless Communications, 2004, 3 (5) : 1626-1636.
  • 4XIA P, ZHOU S, GIANNAKIS G B. Adaptive MIMO- OFDM Based on Partial Channel State Information [ J ]. IEEE Transactions on Signal Processing, 2004,52 (1): 202-213.
  • 5JANG J H, LEE K B, LEE Y. Transmit Power and Bit Allocations for OFDM Systems in a Fading Channel [ C ]//IEEE. GLOBECOM 03 : IEEE Global Telecommu- nications Conference. Piscataway, N J: IEEE Press, 2003 : 858-862.
  • 6HUGHES HARTOGS D. Ensemble Modem Structure for Imperfect Transmission Media: USA, Nos. 4,833,706 [ P]. 1989.
  • 7WEI Qiaomiao, TANG Jiashan. Cross-layer subcaITler al- location for real-time service in MIMO-OFDM systems [ J ]. Journal of Chongqing University of Posts and Tele- communications : Natural Science Edition , 2010, 22 ( 5 ) : 593-597..
  • 8TANG Chaowei, ZHAO Lijuan, SHAO Yanqing, et al. Adaptive step-by-step power allocation algorithm for MI- MO-OFDM systems [J]. Journal of Huazhong University of Science and Technology: Nature Science Edition, 2010,38(4) :18-21.
  • 9SHRESTHA R, KIM J M. Adaptive group loading for MI- MO OFDM systems [ C ]//IEEE Computer Society. 2010 International Conference on Information and Communica- tion Technology Convergence (ICTC). Piscataway, NJ : IEEE Press, 2010: 63-68.
  • 10SUN F, SUN H, YOU M, et al. Enhanced Muhiuser Eigenmode Transmission for Joint Frequency-Spatial Re- source Allocation in OFDM-MIMO Downlink Systems [ C ]//IEEE Vehicular Technology Society. IEEE 75thVehicular Technology Conference, VTC Spring 2012 Pro- ceedings. Piscataway, NJ: IEEE Press, 2012: 1-5.

二级参考文献12

  • 1卢小峰,朱光喜,伍仁勇,刘干.基于多用户MIMO/OFDM系统的空间子信道分配算法[J].通信学报,2006,27(9):34-39. 被引量:19
  • 2FOSCHINI G J, GANS M J. On limits of wireless communications in a fading environment when using multiple antennas[J]. Wireless Personal Communications, 1998,6(3):311-335.
  • 3ZHOU S, GIANNAKIS G B. Optimal transmitter eigen-beamforming and space-time block coding based on channel mean feedback[J]. IEEE Transactions on Signal Processing, 2002,50( 10):2599-2613.
  • 4ZHOU S, GIANNAKIS G B. Adaptive modulation for multiantenna transmissions with channel mean feedback[J]. IEEE Transactions on Wireless Communications,2004,3 (5): 1626-1636.
  • 5XIA E ZHOU S, GIANNAKIS G B. Adaptive MIMO-OFDM based on partial channel state information [J].IEEE Transactions on Signal Processing,2004,52(1) :202-213,
  • 6UTHANSAKUL P, BIALKOWSKI M. An efficient adaptive power and bit allocation algorithm for MIMO OFDM system operating in a multi-user environment[A]. Proceedings of the 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring[C]. Melbourne, Australia, 2006.
  • 7WEI C, QIU L, ZHU J.User selection and resource allocation for multi-user MIMO-OFDM systems with downlink beamforming [A]. First International Conference on Communications and Networking in China, ChinaCom '06[C]. Beijing, China, 2006.
  • 8XIAO X, XIAO X, LIB. Adaptive subcarrier allocation for multiuser MIMO OFDM systems in frequency selective fading channel[A]. Proceedings of the 2005 International Conference on Wireless Communications, Networking and Mobile Computing, WCNM 2005[C]. Wuhan, China, 2005.
  • 9YAO Y, GIANNAKIS G. Rate-maximizing power allocation in OFDM based on partial channel knowledge[J]. IEEE Transactions On Wireless Communications, 2005,4(3): 1073-1083.
  • 10SHARMA V, LAMBOTHARAN S. Robust multiuser beamformers in mimo-ofdm systems[A]. 2006 10th IEEE Singapore International Conference on Communication Systems (IEEE Cat. No. 06EX1390)[C]. Singapore, 2006.

共引文献5

同被引文献12

  • 1罗振东,高宏,刘元安,高锦春.MIMO信道容量公式及其渐近界[J].北京邮电大学学报,2006,29(6):72-76. 被引量:13
  • 2B1ETSAS A, KHISTI A, REED D P. A simple cooperatiw diversity method based on network path selection [ J ]. Se- lected Areas in Communications, IEEE Journal on,2006, 24(3) :659-672.
  • 3OECHTERING T J, SCHNURR C, BJELAKOVIC I, et al. Broadcast capacity region of two-phase bidirectional rela- ying [ J ]. Information Theory, IEEE Transactions on, 2008,54( 1 ) :454-458.
  • 4DING Haiyang, GE Jianhui, BENEVOIDES D, et al. Out- age analysis for multiuser two-way Relaying in mixed ray- leigh and rician fading [ J ]. Communications Letters, IEEE,2011,15 (4) :410-412.
  • 5NIKOPOUR H, JAMALI S H. On the performance of OFDM systems over a cartesian clipping channel: a theo- retical approach [ J ]. Wireless Communication, IEEE Transaction on,2004,3 ( 6 ) : 2083-2096.
  • 6YONG Up J, EUI Rim J, LEE Y H. A two-step approach to power allocation for OFDM signals over two-way ampli- fy-and-forward relay [ J ]. Signal Processing, IEEE Trans- actions on,2010,58(4):2426-2430.
  • 7HAMMERSTROM I, WITI'NEBEN A. Power allocation schemes for amplify-and-forward MIMO-OFDM relay links [J ]. Wireless Communication, IEEE Transaction on, 2007,6( 8 ) :2798-2802.
  • 8LIU Yuan, TAO Meixia. Optimal channel and relay as- signment in OFDM-Based multi-relay multi-pair two-waycommunication networks [ J ]. Wireless Communication, IEEE Transaction on,2012.60(2) :317-321.
  • 9KUHN H W. The Hungaran method for the assignment problem [ M ]. Michigan : Office of Naval Research, 1995, 2(1-2) :83-97.
  • 10LEOW C Y,DING Zhiguo,LEUNG K K. Joint beamform- ing and power management for nonregenerative MIMO two-way relaying channels [ J ]. Wireless Communication, IEEE Transaction on ,2011,60 (9) :4374-4383.

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