Robust capacity maximization transceiver design for MIMO OFDM systems

详细信息    查看全文

• 作者：Shaozhen Guo ; Chengwen Xing ; Zesong Fei ; Dan Li
• 刊名：SCIENCE CHINA Information Sciences
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：59
• 期：6
• 全文大小：297 KB
• 刊物类别：Computer Science
• 刊物主题：Chinese Library of Science
  Information Systems and Communication Service
  
• 出版者：Science China Press, co-published with Springer
• ISSN：1869-1919
• 卷排序：59

文摘

In this paper, we investigated capacity maximization problem for Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing systems with imperfect channel state information (CSI). To the best of our knowledge, the considered problem is still an open problem. However, the transceiver designs for MIMO OFDM systems have been extensively studied. It seems nobody gives closed-form solutions for resource allocation for MIMO OFDM systems with statistical channel estimation errors up to date. In our work, based on practical channel estimation algorithm, the channel estimation errors are first derived and then the robust resource allocation problem has been formulated. The structure of the optimal robust precoder is first derived, based on which the optimization problem will be simplified significantly. Furthermore, based on the Lagrangian dual method, a robust power allocation algorithm is proposed. The proposed power allocation can be considered as a variant of water-filling solution named cluster water-filling solution. Finally, simulation results show that our proposed robust design outperforms the non-robust design in terms of channel capacity.KeywordsMIMO-OFDMcapacity maximizationwater-fillingchannel uncertaintyrobust design