北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2008, Vol. 31 ›› Issue (4): 46-52.doi: 10.13190/jbupt.200804.46.030

• 论文 • 上一篇    下一篇

OFDM频域子信道FSMM

曾菊玲, 周文安, 宋 梅, 宋俊德   

  1. 北京邮电大学 电子工程学院, 北京 100876
  • 收稿日期:2008-01-15 修回日期:1900-01-01 出版日期:2008-08-30 发布日期:2008-08-30
  • 通讯作者: 曾菊玲

Finite-State Markov Model for Frequency
Domain Subchannel of OFDM

ZENG Ju-ling ,ZHOU Wen-an,SONG Mei,SONG Jun-de   

  1. School of Electronic Engineering , Beijing University of Posts and Telecommunications , Beijing 100876 , China)
  • Received:2008-01-15 Revised:1900-01-01 Online:2008-08-30 Published:2008-08-30
  • Contact: ZENG Ju-ling

摘要:

首先分析了正交频分复用技术(OFDM)频域信道统计特性,说明了Nakagami-m分布能更好地描述衰落信道;然后针对高速移动及OFDM信号传输的特点,采用状态持续时间相等法建立了OFDM频域信道有限状态马尔可夫模型(FSMM),分别给出了计算持续时间、状态门限及状态数、转移概率、状态差错率的一般方法及m=0.5\1\2典型值的闭式解,该模型能为自适应模型控制(AMC)、混合自动重传请求(HARQ) HARQ、动态资源分配等技术提供良好的基础。 理论计算结果与仿真符合较好,验证了模型的准确性。

关键词: 有限状态马尔可夫模型, 正交频分复用技术频域模型, Nakagami-m分布, 相等状态持续时间, 频域信道有限状态马尔可夫模型

Abstract:

The statistical characteristic of orthogonal frequency division multiplexing(OFDM) frequency domain channel is analyzed at first. Aiming at the peculiarity of high-speed mobile and transmitting of OFDM signal, a finite-state Markov channel model (FSMM)is formed to represent OFDM frequency domain channel which is modeled as Nakagami-m fading distribution random process that is used in modeling mobile channel more and more widely. The methodology is developed and analyzed to partition the received signal-to-noise ratio into a finite number of states according to the same duration of each state. The method of computing the duration, the threshold , the number of states and the transition probability as well as the average error probability of state is given and the close solution when m is equal to 0.5 or 1 or 2.This model can provide the good base of adaptive modulation and coding and automatic repeat request as well as dynamic resource allocation. The computation results is according to computer simulation results, which verify the accuracy of the model.

Key words: finite-state Markov model, frequency model of orthogonal frequency division multiplexing, Nakagami-m distribution, the same time of duration, finite state Markov model of frequency domain channel

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