LTE-A系統(tǒng)多天線關(guān)鍵技術(shù)研究
發(fā)布時(shí)間：2018-08-01 10:51
【摘要】：多輸入多輸出(Multiple Input Multiple Output,MIMO)技術(shù)作為LTE-A(Long Term Evolution-Advanced)系統(tǒng)的關(guān)鍵技術(shù)之一,極大的提升了系統(tǒng)傳輸速率及系統(tǒng)容量。在LTE-A系統(tǒng),上行采用虛擬天線(Virtual-MIMO,V-MIMO)技術(shù)可有效地提升系統(tǒng)的天線利用率,下行采用9種MIMO傳輸模式可適應(yīng)不同的多天線應(yīng)用場景,下行基站協(xié)作傳輸技術(shù)則是解決LTE-A系統(tǒng)小區(qū)邊緣吞吐量瓶頸的重要多天線技術(shù)。本文聚焦LTE-A系統(tǒng),圍繞其多天線關(guān)鍵技術(shù)進(jìn)行研究,詳細(xì)解讀3GPP R10規(guī)范的LTE-A系統(tǒng)傳輸協(xié)議,分別針對LTE-A系統(tǒng)下行各傳輸模式、上行V-MIMO多用戶配對算法、下行基站協(xié)作傳輸技術(shù)展開研究工作。第一章首先闡述LTE-A系統(tǒng)的需求及其核心多天線技術(shù)涉及的上下行關(guān)鍵傳輸技術(shù)。分析LTE-A系統(tǒng)上行多用戶配對,下行各傳輸模式、協(xié)同多點(diǎn)傳輸及多天線干擾抑制的研究成果,從而引出研究內(nèi)容,最后介紹論文的邏輯結(jié)構(gòu)。第二章介紹LTE-A系統(tǒng)下行傳輸協(xié)議,詳細(xì)分析了3GPP R10協(xié)議的幀結(jié)構(gòu)以及收/發(fā)端中的各模塊。研究了從發(fā)送端的傳輸塊大小確定、CRC校驗(yàn)、碼塊分割、Turbo編碼、速率匹配、碼塊級聯(lián)、加擾、調(diào)制、層映射、預(yù)編碼、資源映射、OFDM調(diào)制到接收端處理的完整過程,為后續(xù)LTE-A系統(tǒng)的多天線MIMO技術(shù)研究提供了基礎(chǔ)。第三章研究LTE-A系統(tǒng)下行各傳輸模式的容量上限,從香農(nóng)理論容量上界及LTE-A系統(tǒng)實(shí)際吞吐量兩個(gè)角度出發(fā),分別研究了下行鏈路中9種不同的傳輸模式的MIMO吞吐性能。從分析和仿真的結(jié)果可見,開環(huán)模式較閉環(huán)模式性能略差,但當(dāng)信噪比增大到一定程度時(shí),兩者區(qū)別不再明顯;傳輸模式8因采用雙流波束賦形,其容量約為傳輸模式7的兩倍。從結(jié)果來看,香農(nóng)容量給出理論上界是所有系統(tǒng)追求的目標(biāo),但實(shí)際可達(dá)吞吐量上限才能真正為企業(yè)產(chǎn)品化、后續(xù)各類算法優(yōu)化等工作的性能提供上限參考。第四章研究上行V-MIMO多天線配對方案。首先介紹上行多用戶配對的基本概念及系統(tǒng)模型;其次研究了首用戶調(diào)度準(zhǔn)則,除傳統(tǒng)的輪詢與比例公平算法外,深入研究最大載干比及SINR門限算法,將其引入首用戶調(diào)度準(zhǔn)則中;緊接著對次用戶配對準(zhǔn)則進(jìn)行了研究,如:隨機(jī)配對、相關(guān)性正交配對、施密特正交配對、行列式配對、可控行列式配對、分組隨機(jī)配對、分組可調(diào)公平配對等;最后通過計(jì)算機(jī)仿真,分析各方案的性能,結(jié)果表明以SINR門限選取首用戶,按行列式配對準(zhǔn)則配對的用戶容量有很大提升,最接近于全局搜索配對性能。第五章研究具有較高能效的基站協(xié)作傳輸干擾抑制方案。首先分析能量效率的定義,并給出本文中各算法能量效率的評估方案;其次提出一種基于盲干擾對齊的基站協(xié)作抑制小區(qū)邊緣干擾的傳輸算法。該算法通過發(fā)送端預(yù)先設(shè)定的天線切換模式將干擾對齊到發(fā)送信號之外的空間,根據(jù)該方法可在沒有反饋鏈路的情況下有效消除干擾,在保證系統(tǒng)性能的基礎(chǔ)上,大大降低傳統(tǒng)基站協(xié)作傳輸?shù)姆答伭?同時(shí)能效也得以提升。第六章總結(jié)本論文所涉及的研究工作,并指出下一步的研究工作與方向。
[Abstract]:As one of the key technologies of LTE-A (Long Term Evolution-Advanced) system, the Multiple Input Multiple Output (MIMO) technology greatly improves the system transmission rate and system capacity. In the LTE-A system, the virtual antenna (Virtual-MIMO, V-MIMO) technology can effectively improve the utilization of the system antenna, downlink. 9 MIMO transmission modes can be used to adapt to different multi antenna application scenarios. The downlink base station cooperative transmission technology is an important multi antenna technology to solve the bottleneck of the cell edge throughput of the LTE-A system. This paper focuses on the LTE-A system, studies the key technologies of the multi antenna, and details the LTE-A system transmission protocol of the 3GPP R10 specification, respectively. According to the transmission modes of the LTE-A system downlink, the uplink V-MIMO multi user pairing algorithm, the downlink base station cooperative transmission technology, the first chapter describes the requirement of the LTE-A system and the key transmission technology involved in the core multi antenna technology. It analyzes the multi user pairing of the uplink of the LTE-A system, the downlink transmission modes, and the synergy. The research results of point transmission and multi antenna interference suppression lead to the research content, and finally introduce the logical structure of the paper. The second chapter introduces the LTE-A system downlink transmission protocol, analyzes the frame structure of the 3GPP R10 protocol and each module in the receiving / sending end, and studies the size of the transmission block, CRC check, block partition, Turb from the transmitter. O coding, rate matching, block concatenation, scrambling, modulation, layer mapping, precoding, resource mapping, OFDM modulation to receiving end processing, provides the basis for the study of multi antenna MIMO technology in the subsequent LTE-A system. The third chapter studies the upper limit of the capacity of each transmission mode in the LTE-A system, from the Shannon theory capacity upper bound and the LTE-A system practice. The throughput performance of 9 different transmission modes in the downlink is studied in two angles. From the analysis and simulation results, it is shown that the open loop mode is slightly worse than the closed loop mode, but when the signal to noise ratio increases to a certain extent, the difference between the two is no longer obvious; the transmission mode 8 uses double flow beamforming, and its capacity is approximately equal to two. The transmission mode is two times as high as 7. From the results, the Shannon capacity gives the theoretical upper bounds as the goal of all systems, but the actual throughput ceiling can really provide the upper limit of the performance of the enterprise and the performance of all kinds of algorithm optimization. In the fourth chapter, the upper V-MIMO multi antenna pairing scheme is studied. First, the uplink multi user is introduced. The basic concept and system model of pairing; secondly, the first user scheduling criterion is studied. In addition to the traditional polling and proportional fairness algorithm, the maximum load ratio and SINR threshold algorithm are deeply studied and introduced into the first user scheduling criteria, and then the secondary user matching criteria are studied, such as random pairing, correlation orthogonal matching, Schmidt. Orthogonal pairing, determinant pairing, controllable determinant pairing, grouping random pairing, group adjustable fair pairing and so on. Finally, the performance of each scheme is analyzed by computer simulation. The results show that the user capacity of the first user is selected by the SINR threshold, and the user capacity according to the determinant pairing criterion is greatly improved. The fifth chapter is the closest to the performance of the global search pairing. In this paper, we study the interference suppression scheme of the cooperative transmission of the base station with high efficiency. Firstly, the definition of energy efficiency is analyzed, and the evaluation scheme of the energy efficiency of the algorithms in this paper is given. Secondly, a transmission algorithm for the cell edge interference suppression based on the blind interference alignment is proposed. The model aligns the interference to the space outside the sending signal. According to this method, the interference can be eliminated effectively without the feedback link. On the basis of the system performance, the feedback amount of the traditional base station cooperative transmission is greatly reduced and the energy efficiency can be improved. The sixth chapter is the research work involved in this paper, and points out the next one. The research work and direction of the step.
【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】：2014
【分類號】：TN929.5
[Abstract]:As one of the key technologies of LTE-A (Long Term Evolution-Advanced) system, the Multiple Input Multiple Output (MIMO) technology greatly improves the system transmission rate and system capacity. In the LTE-A system, the virtual antenna (Virtual-MIMO, V-MIMO) technology can effectively improve the utilization of the system antenna, downlink. 9 MIMO transmission modes can be used to adapt to different multi antenna application scenarios. The downlink base station cooperative transmission technology is an important multi antenna technology to solve the bottleneck of the cell edge throughput of the LTE-A system. This paper focuses on the LTE-A system, studies the key technologies of the multi antenna, and details the LTE-A system transmission protocol of the 3GPP R10 specification, respectively. According to the transmission modes of the LTE-A system downlink, the uplink V-MIMO multi user pairing algorithm, the downlink base station cooperative transmission technology, the first chapter describes the requirement of the LTE-A system and the key transmission technology involved in the core multi antenna technology. It analyzes the multi user pairing of the uplink of the LTE-A system, the downlink transmission modes, and the synergy. The research results of point transmission and multi antenna interference suppression lead to the research content, and finally introduce the logical structure of the paper. The second chapter introduces the LTE-A system downlink transmission protocol, analyzes the frame structure of the 3GPP R10 protocol and each module in the receiving / sending end, and studies the size of the transmission block, CRC check, block partition, Turb from the transmitter. O coding, rate matching, block concatenation, scrambling, modulation, layer mapping, precoding, resource mapping, OFDM modulation to receiving end processing, provides the basis for the study of multi antenna MIMO technology in the subsequent LTE-A system. The third chapter studies the upper limit of the capacity of each transmission mode in the LTE-A system, from the Shannon theory capacity upper bound and the LTE-A system practice. The throughput performance of 9 different transmission modes in the downlink is studied in two angles. From the analysis and simulation results, it is shown that the open loop mode is slightly worse than the closed loop mode, but when the signal to noise ratio increases to a certain extent, the difference between the two is no longer obvious; the transmission mode 8 uses double flow beamforming, and its capacity is approximately equal to two. The transmission mode is two times as high as 7. From the results, the Shannon capacity gives the theoretical upper bounds as the goal of all systems, but the actual throughput ceiling can really provide the upper limit of the performance of the enterprise and the performance of all kinds of algorithm optimization. In the fourth chapter, the upper V-MIMO multi antenna pairing scheme is studied. First, the uplink multi user is introduced. The basic concept and system model of pairing; secondly, the first user scheduling criterion is studied. In addition to the traditional polling and proportional fairness algorithm, the maximum load ratio and SINR threshold algorithm are deeply studied and introduced into the first user scheduling criteria, and then the secondary user matching criteria are studied, such as random pairing, correlation orthogonal matching, Schmidt. Orthogonal pairing, determinant pairing, controllable determinant pairing, grouping random pairing, group adjustable fair pairing and so on. Finally, the performance of each scheme is analyzed by computer simulation. The results show that the user capacity of the first user is selected by the SINR threshold, and the user capacity according to the determinant pairing criterion is greatly improved. The fifth chapter is the closest to the performance of the global search pairing. In this paper, we study the interference suppression scheme of the cooperative transmission of the base station with high efficiency. Firstly, the definition of energy efficiency is analyzed, and the evaluation scheme of the energy efficiency of the algorithms in this paper is given. Secondly, a transmission algorithm for the cell edge interference suppression based on the blind interference alignment is proposed. The model aligns the interference to the space outside the sending signal. According to this method, the interference can be eliminated effectively without the feedback link. On the basis of the system performance, the feedback amount of the traditional base station cooperative transmission is greatly reduced and the energy efficiency can be improved. The sixth chapter is the research work involved in this paper, and points out the next one. The research work and direction of the step.
【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】：2014
【分類號】：TN929.5
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