平行信道的可靠通信研究
發(fā)布時間：2018-10-15 14:12
【摘要】：4G通信技術(shù)已經(jīng)廣泛商用,隨著5G通信的提出,未來需要在越來越復(fù)雜的應(yīng)用場景中實現(xiàn)可靠通信。無線信道時時面臨著衰落等影響,在信息傳輸過程中將會引起數(shù)據(jù)錯誤。從信息論的角度分析,可以將編碼后的信息通過多個平行信道傳輸。本文主要研究平行信道的可靠通信技術(shù),基于信道編碼思想,主要研究的是發(fā)射機(jī)和接收機(jī)都已知信道的瞬時狀態(tài)信息的平行信道下的極化碼構(gòu)造算法以及極化碼的自適應(yīng)編碼技術(shù)。第一章首先介紹了平行信道可靠通信的研究背景及意義,并介紹了極化碼的優(yōu)點(diǎn)和研究現(xiàn)狀,以及對平行信道下構(gòu)造極化碼的研究可行性。在第二章中,詳細(xì)介紹了極化碼基本概念及其優(yōu)點(diǎn),從信道組合,信道分離到信道極化的基本過程分析了極化碼,并重點(diǎn)介紹了極化碼在高斯信道下的構(gòu)造方法以及連續(xù)抵消(successive cancellation,SC)譯碼算法。本文第三章介紹了平行信道的通信模型以及分析了極化碼在平行信道下的極化理論。本章介紹了當(dāng)只有接收機(jī)已知信道的信道狀態(tài)信息(channel state information,CSI)以及當(dāng)發(fā)射機(jī)和接收機(jī)都已知信道的CSI時的平行信道模型,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發(fā)射機(jī)和接收機(jī)都已知CSI的時變信道下的信道容量。最后,結(jié)合極化碼從理論上分析了平行信道下的極化思想,為下一章具體研究平行信道下極化碼的構(gòu)造方法打下了理論基礎(chǔ)。本文第四章是基于極化碼的平行信道的可靠通信研究。首先,研究的是將高斯近似算法應(yīng)用于平行信道的極化碼構(gòu)造,然后提出了一種根據(jù)高斯近似算法化簡推導(dǎo)得出的等效交織方法構(gòu)造極化碼。這種簡化方法對于平行信道通信中極化碼的構(gòu)造只需做一次簡化高斯近似算法確定出交織方式就可以快速構(gòu)造極化碼。針對發(fā)射機(jī)和接收機(jī)都已知CSI的平行信道分析了自適應(yīng)構(gòu)造極化碼的具體方法,分析了平行信道下的極化碼構(gòu)造的自適應(yīng)碼率設(shè)置問題,提出根據(jù)平行信道的CSI變換而動態(tài)變換的碼率設(shè)置方法。然后提出采用對平行信道進(jìn)行功率優(yōu)化的方法進(jìn)一步提高通信可靠性。簡化方法相比高斯近似算法具有更低的復(fù)雜度。最后,仿真驗證了提出的方法的性能,結(jié)果表明簡化方法在碼長較長時具有良好的性能。最后,第五章是對全文的總結(jié),并提出了對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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN911.22
本文編號：2272794
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN911.22
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 本刊訊;;IMT-2020(5G)推進(jìn)組發(fā)布5G技術(shù)白皮書[J];中國無線電;2015年05期
，本文編號：2272794
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