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一种基于均值反馈模型的自适应空间子信道分配算法 被引量：2

An Adaptive Spatial Subchannel Allocation Algorithm Based on Mean Feedback Model
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摘要 MIMO/OFDM是未来宽带无线通信接口的有效架构。该文针对多用户MIMO/OFDM系统,提出了一种基于均值反馈模型的自适应空间子信道分配算法,以获取最大的系统吞吐量为目标,推导了子载波分配准则,并给出了相应的算法流程。仿真结果表明,该算法具有良好的性能,有效地提高了系统的传输速率。 MIMO/OFDM is an effective architecture for future wireless communication systems. A spatial subchannel allocation algorithm based on mean feedback model over multiuser MIMO/OFDM systems is proposed in this paper. With the goal of maximizing overall data throughput the criteria of subcarrier allocation is derived and the adaptive allocation approach is developed. The simulation results show that the proposed algorithm can efficiently achieve good performance and high total transmission rate.
作者 卢小峰 朱光喜 宁国勤 李赞
机构地区 华中科技大学电信系 西安电子科技大学综合业务国家重点实验室
出处 《电子与信息学报》 EI CSCD 北大核心 2008年第1期63-66,共4页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60672129、60496315) 国家863计划(2003AA12331005) 霍英东高等院校青年教师基金(101065) 陕西省自然科学基金(2005F29)
关键词 多入多出/正交频分复用 均值反馈模型 自适应空间子信道分配 吞吐量 MIMO/OFDM（Multiple-Input Multiple-Output/Orthogonal Frequency-Division Multiplexing） Mean feedback model Adaptive spatial subchannel allocation Data throughput
分类号 TN92 [电子电信—通信与信息系统]
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参考文献7

  • 1Sampath H, Talwar S, and Tellado J, et al.. A fourth generation MIMO-OFDM: Broadband wireless system: Design, performance, and field trial results [J]. IEEE Commun. Mag. , 2002, 40(9):143-149.
  • 2Wong K K, Cheng R S K, and Letaief K B, et al. daptive antennas at the mobile and base stations in an OFDM/DMA system [J]. IEEE Trans. on Communications, 2001, 9(6): 95-206.
  • 3Li J, Letaief K B, and Ma Z, et al. Spatial multiuser access with MIMO smart antennas for OFDM systems[A]. IEEE VTC[C], Atlantic, Oct. 2001, 1553-557.
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同被引文献31

  • 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
  • 2Yang H W.A road to future broadband wireless access:MIMO-OFDM-Based air interface[J].IEEECommunications Magazine,2005,43(1):53-60.
  • 3Hu Z P,Zhu G X,Xia Y,et al.Adaptive subcarrier and bit allocation for muhiuser MIMO-OFDM transmission[C].Vehicular Technology Conference.2004.VTC2004一Spring.Milan:The 59th IEEE,2004:779-783.
  • 4Goldsmith A.Wireless communications[M].Cambridge,UK:Cambridge University Press,2005:190-212.
  • 5Jankiraman M.Space-time codes and MIMO systems[M].Boston,London:Artech House,2004:32-37.
  • 6Lee C.Antenna selection for space-time block coded systems with imperfect channel knowledge[D].Kinston,Ontario,Canada:Department of Electrical and Computer Engineering at Queen's University,2006.
  • 7Vu M,Paulraj A.On the capacity of MIMO wireless channels with dynamic CSIT[J].IEEE Journal on Selected Areas in Communications,2007,25(7):1269-1283.
  • 8Vucetic B.An adaptive coding scheme for time-varying channels[J].IEEE Transactions on Communications,1991,39(5):653-663.
  • 9Xia P F,Zhou S L,Giannakis G B.Adaptive MIMO-OFDM based on partial channel state information[J].IEEETransactions on Signal Processing,2004,52(1):202-213.
  • 10Jakes W C.Microwave mobile communications[M].New York:Wiley-IEEE Press,1974:11-76.

引证文献2

电子与信息学报
2008年 第1期

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