平行信道的可靠通信研究

发布时间：2018-10-15 14:12

【摘要】：4G通信技术已经广泛商用,随着5G通信的提出,未来需要在越来越复杂的应用场景中实现可靠通信。无线信道时时面临着衰落等影响,在信息传输过程中将会引起数据错误。从信息论的角度分析,可以将编码后的信息通过多个平行信道传输。本文主要研究平行信道的可靠通信技术,基于信道编码思想,主要研究的是发射机和接收机都已知信道的瞬时状态信息的平行信道下的极化码构造算法以及极化码的自适应编码技术。第一章首先介绍了平行信道可靠通信的研究背景及意义,并介绍了极化码的优点和研究现状,以及对平行信道下构造极化码的研究可行性。在第二章中,详细介绍了极化码基本概念及其优点,从信道组合,信道分离到信道极化的基本过程分析了极化码,并重点介绍了极化码在高斯信道下的构造方法以及连续抵消(successive cancellation,SC)译码算法。本文第三章介绍了平行信道的通信模型以及分析了极化码在平行信道下的极化理论。本章介绍了当只有接收机已知信道的信道状态信息(channel state information,CSI)以及当发射机和接收机都已知信道的CSI时的平行信道模型,分析了平行信道通信的映射方式,然后研究了任意映射方式下的平行信道的容量以及发射机和接收机都已知CSI的时变信道下的信道容量。最后,结合极化码从理论上分析了平行信道下的极化思想,为下一章具体研究平行信道下极化码的构造方法打下了理论基础。本文第四章是基于极化码的平行信道的可靠通信研究。首先,研究的是将高斯近似算法应用于平行信道的极化码构造,然后提出了一种根据高斯近似算法化简推导得出的等效交织方法构造极化码。这种简化方法对于平行信道通信中极化码的构造只需做一次简化高斯近似算法确定出交织方式就可以快速构造极化码。针对发射机和接收机都已知CSI的平行信道分析了自适应构造极化码的具体方法,分析了平行信道下的极化码构造的自适应码率设置问题,提出根据平行信道的CSI变换而动态变换的码率设置方法。然后提出采用对平行信道进行功率优化的方法进一步提高通信可靠性。简化方法相比高斯近似算法具有更低的复杂度。最后,仿真验证了提出的方法的性能,结果表明简化方法在码长较长时具有良好的性能。最后,第五章是对全文的总结,并提出了对下一步研究方向的展望。
[Abstract]:4G communication technology has been widely used. With the development of 5G communication, it is necessary to realize reliable communication in more and more complex application scenarios in the future. The wireless channel always faces the influence of fading, which will cause data errors in the process of information transmission. From the point of view of information theory, the encoded information can be transmitted through multiple parallel channels. This paper mainly studies the reliable communication technology of parallel channel, which is based on channel coding. This paper mainly studies the construction algorithm of polarization codes in parallel channels where both transmitter and receiver know the instantaneous state information of channels and the adaptive coding technique of polarization codes. In the first chapter, the research background and significance of parallel channel reliable communication are introduced, and the advantages and research status of polarization codes are introduced, as well as the feasibility of constructing polarization codes in parallel channels. In the second chapter, the basic concept and advantages of polarization code are introduced in detail. The basic process of channel separation from channel combination to channel polarization is analyzed. The construction method of polarization codes in Gao Si channel and the decoding algorithm of continuous cancellation (successive cancellation,SC) are introduced. In the third chapter, we introduce the communication model of parallel channel and analyze the polarization theory of polarization code in parallel channel. This chapter introduces the parallel channel model when only the channel state information (channel state information,CSI) of the receiver is known, and the parallel channel model when both the transmitter and receiver know the channel CSI, and analyzes the mapping mode of parallel channel communication. Then the capacity of parallel channels in arbitrary mapping mode and the channel capacity in time-varying channels in which both transmitter and receiver are known are studied. Finally, the polarization theory under parallel channel is analyzed theoretically, which lays a theoretical foundation for the next chapter to study the construction method of polarization code in parallel channel. In the fourth chapter, we study the reliable communication in parallel channels based on polarization codes. Firstly, the Gao Si approximation algorithm is applied to the construction of polarization codes in parallel channels, and then an equivalent interleaving method based on the simplified algorithm of Gao Si approximation is proposed to construct the polarimetric codes. For the construction of polarization codes in parallel channel communication, this simplified method only needs to make a simplified Gao Si approximation algorithm to determine the interleaving mode, and then the polarization codes can be constructed quickly. Based on the parallel channel of CSI known to transmitter and receiver, this paper analyzes the specific method of adaptive construction of polarization code, and analyzes the problem of setting the adaptive rate of polarization code in parallel channel. A dynamic rate setting method based on the CSI transform of parallel channels is proposed. Then the parallel channel power optimization method is proposed to further improve the communication reliability. The simplified method has lower complexity than Gao Si approximation. Finally, the performance of the proposed method is verified by simulation, and the results show that the simplified method has good performance when the code length is longer. Finally, the fifth chapter is a summary of the full text, and put forward the future research direction.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN911.22

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