Research On The Reliable Communication Over Parallel Channels

The 4G communication technology has been widely used commercially. Reliable communication is needed in an increasingly complex application scenarios in the future 5G system. Wireless channel always faces the impact of fading, etc., in the process of information transmission will cause data errors. For the view of information theory, information coding can be transmitted to multiple parallel channels. In this paper, we mainly research the reliable communication technology over parallel channels. Based on the idea of channel coding, this paper mainly studies the polar codes construction algorithm and the adaptive coding techniques over parallel channels when both the transmitter and the receiver know the channel state information(CSI)The first chapter introduces the research background and significance of reliable communication over parallel channels, then introduces the advantages and current status of the polar codes, as well as the feasibility of the research on the construction of the polar codes over parallel channels.In chapter 2, the basic concept and advantages of the polar codes were introduced in detail. We analysis the polar code from the channel combination, channel spilt to the basic process of channel polarization, and we focuse on the polar codes in the AWGN channel construction method and successive cancellation(SC) decoding algorithm.In the third chapter, we have introduced the model of the parallel channels and analyzed the polarization theory of the polar code in the parallel channels. This chapter introduced the model of parallel channels when only the receiver know the CSI and both the transmitter and receiver know the CSI, and analyzed the mapping mode of the parallel channels. Then we have researched the channel capacity of the parallel channels with arbitrary mapping mode and when both the receiver and transmitter know the CSI. Finally, according to the theory of polar codes, the polarization theory of parallel channel is analyzed, which is the theoretical basis for the next chapter.In chapter 4, we have studied the polar coding for reliable communications over parallel channels. The Gaussian approximation algorithm for constructing the polar codes is used in the parallel channels. Then a simplified equivalent interleaving method based on Gaussian approximation algorithm is proposed to construct polar codes. The method for constructing polar codes over parallel channels just do the simplified method once to determine the interleaving mode can be quickly constructing polar codes. We have researched adaptive coding for polar codes and analyzed the adaptive rate over parallel channels when both the transmitter and the receiver know the CSI. We put forward based on the parallel channels CSI transform and dynamic transformation rate setting method to construct polar codes. Then the power optimization method is proposed to further improve the reliability of the communication. The simplified method has lower complexity compared to the Gaussian approximation algorithm. Finally, simulations are presented to verify the performance of the proposed algorithms.Finally, the fifth chapter is the summary of the full text, and puts forward the future direction of the research.