本文關(guān)鍵詞：多中繼協(xié)作通信網(wǎng)絡(luò)信道估計(jì)和資源分配算法研究　出處：《哈爾濱工業(yè)大學(xué)》2017年博士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 多中繼協(xié)作通信 信道估計(jì) 分布式空時(shí)編碼 分布式空頻編碼 資源分配

【摘要】：MIMO技術(shù)由于具有擴(kuò)大信道容量和提升空間分集增益等特點(diǎn)成為下一代移動(dòng)通信網(wǎng)絡(luò)的關(guān)鍵技術(shù)之一。然而,移動(dòng)終端對(duì)于尺寸和重量的限制使MIMO技術(shù)難以實(shí)現(xiàn)。多中繼協(xié)作通信系統(tǒng)將分布式單天線終端視為虛擬天線陣列,應(yīng)用MIMO系統(tǒng)的關(guān)鍵技術(shù)有效補(bǔ)償無(wú)線信道的多徑效應(yīng)和路徑損耗造成的信號(hào)失真,達(dá)到提升通信可靠性和擴(kuò)大信號(hào)傳輸距離的目的。為了進(jìn)一步提升系統(tǒng)性能,本文在慢衰落信道下對(duì)于多中繼協(xié)作通信網(wǎng)絡(luò)的信道估計(jì)問(wèn)題和無(wú)線資源分配問(wèn)題展開(kāi)深入研究。首先對(duì)協(xié)作中繼系統(tǒng)的轉(zhuǎn)發(fā)方式和分集技術(shù)原理進(jìn)行了回顧。描述了協(xié)作中繼系統(tǒng)常用的兩種轉(zhuǎn)發(fā)方式,簡(jiǎn)要分析了單中繼協(xié)作場(chǎng)景下的信號(hào)處理過(guò)程。介紹了MIMO系統(tǒng)采用的??兩種分集技術(shù):空時(shí)編碼和空頻編碼,為后續(xù)章節(jié)奠定理論基礎(chǔ)。對(duì)多中繼協(xié)作通信網(wǎng)絡(luò)的信道估計(jì)問(wèn)題展開(kāi)研究,提出一種基于統(tǒng)計(jì)信道狀態(tài)信息的信道估計(jì)算法。首先,介紹了多中繼網(wǎng)絡(luò)的訓(xùn)練序列發(fā)送方案,推導(dǎo)了接收訓(xùn)練序列表達(dá)式并對(duì)ISI和ICI進(jìn)行分析,提出了數(shù)據(jù)幀接收信號(hào)的判決反饋均衡算法。以最小化多中繼節(jié)點(diǎn)到目的節(jié)點(diǎn)信道頻率響應(yīng)估計(jì)值的均方誤差為目標(biāo)函數(shù)建立最優(yōu)化問(wèn)題,在總發(fā)射功率恒定的前提下提出一種基于節(jié)點(diǎn)距離信息的訓(xùn)練序列功率分配算法。在慢衰落信道下提出一種基于多徑延遲的判決反饋信道估計(jì)算法。仿真結(jié)果表明,本文提出的的訓(xùn)練序列功率分配算法有效降低了信道頻率響應(yīng)估計(jì)值的均方誤差。對(duì)比基于LS準(zhǔn)則的判決反饋估計(jì)算法,基于多徑延遲的判決反饋估計(jì)算法在提升信道估計(jì)精度的同時(shí)降低了數(shù)據(jù)幀的誤比特率,使各節(jié)點(diǎn)獲得更精確的全局CSI。對(duì)基于分布式空時(shí)編碼的功率分配問(wèn)題展開(kāi)研究,提出一種基于注水算法的功率分配方案。將分布式GABBA碼應(yīng)用到多中繼AF協(xié)作通信網(wǎng)絡(luò)中,分析了源節(jié)點(diǎn)和中繼節(jié)點(diǎn)信號(hào)處理過(guò)程,對(duì)目的節(jié)點(diǎn)的接收信號(hào)建立數(shù)學(xué)模型并推導(dǎo)出接收信噪比。根據(jù)分布式GABBA編碼矩陣具有準(zhǔn)正交性的特點(diǎn)提出一種改進(jìn)的中繼節(jié)點(diǎn)映射算法。以最小化中斷概率為目標(biāo)函數(shù)建立最優(yōu)化問(wèn)題,根據(jù)自變量可行域的特點(diǎn)將該問(wèn)題轉(zhuǎn)化為中繼節(jié)點(diǎn)選擇與功率分配的聯(lián)合優(yōu)化問(wèn)題,提出一種基于注水算法的功率分配方案。仿真結(jié)果表明,本文提出的中繼節(jié)點(diǎn)映射算法有效提升了分布式GABBA碼的譯碼性能。對(duì)比其他幾種功率分配算法,本文提出的功率分配方案在提升分布式GABBA碼的誤比特率性能的同時(shí)降低了中斷概率。對(duì)基于分布式空頻編碼的無(wú)線資源分配問(wèn)題展開(kāi)了研究,提出一種基于功率分配、子載波匹配和中繼節(jié)點(diǎn)選擇的聯(lián)合優(yōu)化算法。首先,以最小化成對(duì)符號(hào)錯(cuò)誤概率為優(yōu)化目標(biāo)推導(dǎo)分布式空頻編碼矩陣優(yōu)化準(zhǔn)則。然后,提出一種改進(jìn)的轉(zhuǎn)發(fā)信號(hào)功率分配方案,證明該方案使分布式空頻編碼達(dá)到滿(mǎn)分集階數(shù),對(duì)分布式空頻編碼應(yīng)用子載波交織算法并給出分離因子計(jì)算方法。在編碼矩陣優(yōu)化準(zhǔn)則指導(dǎo)下,提出一種基于子載波匹配和中繼節(jié)點(diǎn)選擇的聯(lián)合優(yōu)化算法。仿真結(jié)果表明,本文提出的功率分配方案使分布式空頻編碼達(dá)到滿(mǎn)分集階數(shù),子載波交織算法有效提升了分布式空頻編碼的外部分集積。在分布式空頻編碼矩陣優(yōu)化準(zhǔn)則指導(dǎo)下,基于子載波匹配和中繼節(jié)點(diǎn)選擇的聯(lián)合優(yōu)化算法使系統(tǒng)性能獲得進(jìn)一步提升。將應(yīng)用場(chǎng)景由兩跳網(wǎng)絡(luò)擴(kuò)展到多跳網(wǎng)絡(luò),提出一種基于分布式空頻編碼的中繼節(jié)點(diǎn)選擇算法。首先,分析了多路徑路由協(xié)議并將每一跳的收發(fā)節(jié)點(diǎn)抽象為VMIMO結(jié)構(gòu),提出一種基于分布式空頻編碼的物理層傳輸方案。然后,以最小化每一跳的成對(duì)符號(hào)錯(cuò)誤概率性能下界為目標(biāo)函數(shù)建立最優(yōu)化模型,在分布式空頻編碼矩陣優(yōu)化準(zhǔn)則指導(dǎo)下提出一種中繼節(jié)點(diǎn)選擇算法。仿真結(jié)果表明,本文提出的的物理層方案使每一跳的誤比特率性能下界達(dá)到滿(mǎn)分集階數(shù),本文提出的中繼節(jié)點(diǎn)選擇算法有效地提升了誤比特率性能下界,進(jìn)一步增強(qiáng)了多跳網(wǎng)絡(luò)的通信可靠性。
[Abstract]:MIMO technology has the characteristics of expanding the channel capacity and enhance the space diversity gain is one of the key technologies in next generation mobile communication network. However, the mobile terminal for the size and weight limit that MIMO technology is difficult to achieve. Multi relay cooperative communication system will be distributed to end on the day of single line virtual antenna array signal caused by multipath effect and the path loss compensation key technology application of MIMO system in the wireless channel distortion, enhance communication reliability and expand the signal transmission distance. In order to further improve the system performance, this paper in the slow fading channel for channel estimation of multi relay cooperative communication network research and radio resource allocation problems. First the way forward and diversity the technical principle of cooperative relay system is reviewed. Describes two commonly used forwarding party cooperative relay system A brief analysis of the signal processing, single relay scenario process. Introduced the use of the MIMO system?? two diversity technologies: space-time encoding and space frequency encoding, lay the theoretical foundation for the following chapters. The channel of multi relay cooperative communication network estimation research problem, proposed an algorithm to estimate the channel statistics based on channel state information. Firstly, introduces the training sequence transmission scheme for multi relay network, deduces the received training sequence and the expression of ISI and ICI analysis, put forward the judgment data frame received signal feedback equalization algorithm. To minimize the multi relay node to the destination node channel frequency response mean square error estimation establish the optimization problem as the objective function, in the premise of constant total transmit power under the proposed training sequence power allocation algorithm based on node distance information. In the slow fading channel based In multipath delay decision feedback channel estimation algorithm. The simulation results show that the proposed training sequence power allocation algorithm can effectively reduce the mean square error of channel frequency response estimation. Compared with the LS criterion of the decision feedback estimation algorithm based on decision feedback, multipath delay estimation algorithm reduces the bit error rate in the data frame and lifting the accuracy of channel estimation based on each node in the global CSI. more accurate research on power allocation problem based on distributed space-time encoding, proposes a power allocation scheme based on water filling algorithm. The distributed GABBA code is applied to the multi relay cooperative AF communication network, analyzes the source node and the relay node signal processing process the received signal to the destination node to establish the mathematical model and deduce the reception SNR. According to the distributed GABBA encoding matrix has the characteristics of quasi orthogonality A relay node mapping algorithm. To minimize the outage probability based optimization problem as the objective function, according to the characteristics of the independent variables of the feasible region of the problem is transformed into a joint optimization problem of relay selection and power allocation, proposes a power allocation scheme based on water filling algorithm. The simulation results show that the proposed algorithm of relay node mapping to effectively improve the decoding performance of distributed GABBA codes. Compared to several other algorithms of power allocation, power allocation scheme is proposed in this paper to enhance the distributed GABBA code bit error rate performance and reduce the outage probability. Research on the wireless resource allocation problem based on distributed space frequency encoding, is proposed based on a joint optimization of power allocation. The algorithm of subcarrier matching and relay selection. First of all, to minimize the pairwise symbol error probability as the optimization goal of derivation of distribution Type of space frequency encoding matrix optimization criterion. Then, this paper proposes an improved forward signal power allocation scheme, prove that this scheme makes the distributed space frequency encoding to achieve full diversity order, algorithm and calculated separation factor method of distributed space frequency interleaving encoding application sub carrier. In the encoding matrix optimization principles, proposes a joint the optimization algorithm of subcarrier matching and relay selection. Based on the simulation results show that the proposed power allocation scheme, the distributed space frequency encoding to achieve full diversity order, interleaved subcarrier algorithm effectively improves the distributed space frequency encoding the outer part of integrated. In the distributed space frequency encoding matrix optimization principles, combined optimization algorithm subcarrier matching and relay selection based on the performance of the system for further improvement. The application scenario is expanded by two hop network to multi hop network, a method based on The relay node distributed space frequency encoding selection algorithm. Firstly, analysis of the multi path routing protocol and each hop transceiver node is abstracted as VMIMO structure, put forward a kind of physical layer transmission scheme based on distributed space frequency encoding. Then, in order to minimize the wrong pairs of symbols per hop error probability performance bounds as objective function the optimization model in distributed space frequency encoding matrix optimization criterion is put forward under the guidance of a relay node selection algorithm. The simulation results show that the proposed scheme of the physical layer to lower the bit error rate performance reached in order for each hop, the proposed relay selection algorithm is effective to improve the performance of the bit error rate lower bound to further enhance the reliability of communication, multi hop network.

【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN915.0

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7 張瓊;3-D Turbo碼在中繼協(xié)作傳輸方案中的應(yīng)用[D];西安電子科技大學(xué);2014年

8 張夢(mèng)婷;協(xié)作通信中的中繼選擇和用戶(hù)調(diào)度公平性研究[D];西安電子科技大學(xué);2014年

9 廖春蘭;協(xié)作通信系統(tǒng)中的中繼協(xié)作技術(shù)研究[D];西安電子科技大學(xué);2014年

10 唐云帥;協(xié)作通信技術(shù)研究[D];西安電子科技大學(xué);2009年

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