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分布式Alamouti空时码的信道容量及最优资源分配方案
  • 期刊名称:电子与信息学报
  • 时间:0
  • 页码:27-31
  • 语言:中文
  • 分类:TN929.5[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构:[1]School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
  • 相关基金:this work was supported by the National Natural Science Foundation (No. 60372055), the National High Technology Research and Development (863) Project (No. 2003AA123320), and the National Doctoral Research Foundation of Ministry of Education (No. 20020698024).
  • 相关项目:多天线协作通信系统中的有限反馈策略研究
中文摘要:

In order to investigate the impact of channel estimation error on channel capacity of multiple input multiple output (MIMO) system, a novel method is proposed to explore the channel capacity in correlated Rayleigh fading environment. A system model is constructed based on the channel estimation error at receiver side. Using the properties of Wishart distribution, the lower bound of the channel capacity is derived when the MIMO channel is of full rank. Then a method is proposed to select the optimum set of t...

英文摘要:

In order to investigate the impact of channel estimation error on channel capacity of multiple input multiple output (MIMO) system, a novel method is proposed to explore the channel capacity in correlated Rayleigh fading environment. A system model is constructed based on the channel estimation error at receiver side. Using the properties of Wishart distribution, the lower bound of the channel capacity is derived when the MIMO channel is of full rank. Then a method is proposed to select the optimum set of transmit antennas based on the lower bound of the mean channel capacity. The novel method can be easily implemented with low computational complexity. The simulation results show that the channel capacity of MIMO system is sensitive to channel estimation error, and is maximized when the signal-to- noise ratio increases to a certain point. Proper selection of transmit antennas can increase the channel capacity of MIMO system by about 1 bit/s in a flat fading environment with deficient rank of channel matrix.

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