本文選題：雙向中繼網(wǎng)絡(luò)　切入點(diǎn)：非同步物理層網(wǎng)絡(luò)編碼　出處：《東北大學(xué)》2014年碩士論文

【摘要】：物理層網(wǎng)絡(luò)編碼(Physical-layer network coding, PNC)是一種新的無(wú)線中繼方式,它利用電磁波疊加原理和無(wú)線信道的廣播特性,在兩個(gè)時(shí)隙內(nèi)就可以完成雙向中繼系統(tǒng)的數(shù)據(jù)交換。相比較于網(wǎng)絡(luò)編碼的三個(gè)時(shí)隙和傳統(tǒng)中繼方式的四個(gè)時(shí)隙,它進(jìn)一步縮短了數(shù)據(jù)交換的時(shí)間,提高了網(wǎng)絡(luò)吞吐量,因此受到廣泛的關(guān)注。由于無(wú)線終端的時(shí)鐘不同步以及信道環(huán)境的不同,在PNC的信號(hào)疊加階段,會(huì)出現(xiàn)相位偏移和碼元偏移等不同步情況,這嚴(yán)重地影響中繼節(jié)點(diǎn)解碼(解碼,即先解調(diào)疊加信號(hào),然后再進(jìn)行編碼映射)疊加信號(hào)的誤符號(hào)率。因此,分析非同步情況下解碼誤符號(hào)率將對(duì)物理層網(wǎng)絡(luò)編碼的實(shí)現(xiàn)具有理論指導(dǎo)意義。本文提出了非同步物理層網(wǎng)絡(luò)編碼的誤符號(hào)率分析方案,基于BPSK和QPSK調(diào)制方式,得出誤符號(hào)率上界和下界的數(shù)學(xué)表達(dá)式。本文的誤符號(hào)率分析基于兩種解碼方案,基于多用戶檢測(cè)(Multiuser Detection, MUD)的異或(XOR)編碼映射方案(MUD-XOR)和基于置信傳播(Belief Propagation, BP)的最大后驗(yàn)概率(Maximum a Posteriori, MAP)解碼方案(BP-MAP).本文證明了BP-MAP方案的誤符號(hào)率性能優(yōu)于MUD-XOR方案,但是二者誤符號(hào)率性能相差很小�；贐P-MAP方案,假設(shè)中繼節(jié)點(diǎn)已知部分疊加信息,從而得出誤符號(hào)率的下界表達(dá)式;而基于MUD-XOR方案,我們引入了差錯(cuò)向量和差錯(cuò)向量可分解的概念,證明出誤符號(hào)率上界只與不可分差錯(cuò)向量有關(guān),從而得出誤符號(hào)率的上界表達(dá)式。因此,本文求出的誤符號(hào)率上下界對(duì)于兩種解碼方案都適用。通過(guò)仿真驗(yàn)證證明利用本文提出的誤符號(hào)率分析方案和推導(dǎo)出的誤符號(hào)率表達(dá)式能夠得出比較準(zhǔn)確的誤符號(hào)率上下界。
[Abstract]:Physical-layer network coding (PNCC) is a new wireless relay mode, which utilizes the principle of electromagnetic wave superposition and the broadcast characteristics of wireless channel. The data exchange of bidirectional relay system can be completed in two time slots. Compared with three time slots encoded by network and four slots in traditional relay mode, it can further shorten the time of data exchange and improve the throughput of network. Because the clock of wireless terminal is out of sync and the channel environment is different, the phase offset and symbol offset will appear in the signal superposition phase of PNC, which seriously affects the decoding (decoding) of relay node. That is, demodulating the superposition signal first, then coding mapping) the symbol error rate of the superposition signal. The analysis of symbol error rate in asynchronous decoding will be of theoretical significance to the realization of physical layer network coding. In this paper, a scheme of symbol error rate analysis for asynchronous physical layer network coding is proposed, which is based on BPSK and QPSK modulation. The mathematical expressions of upper bound and lower bound of symbol error rate are obtained. The analysis of symbol error rate in this paper is based on two decoding schemes. Based on Multiuser Detection (mud) and confidence Propagation (BP), the maximum posterior probability Maximum a Posteriori (MAPP) decoding scheme based on multiuser detection (mud) is proposed. It is proved in this paper that the performance of BP-MAP scheme is better than that of MUD-XOR scheme. However, the performance of symbol error rate is very small. Based on BP-MAP scheme, the lower bound expression of symbol error rate is obtained by assuming that the relay node has known superposition information, while based on MUD-XOR scheme, the lower bound expression of symbol error rate is obtained. In this paper, we introduce the concepts of error vector and decomposable error vector, and prove that the upper bound of symbol error rate is only related to the indistinguishable error vector, thus the upper bound expression of symbol error rate is obtained. The upper and lower bounds of symbol error rate obtained in this paper are applicable to both decoding schemes. The simulation results show that more accurate upper and lower bounds of symbol error rate can be obtained by using the analysis scheme of symbol error rate proposed in this paper and the derived expression of symbol error rate.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN915.0

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