本文選題：Massive　切入點(diǎn)：MIMO　出處：《鄭州大學(xué)》2017年碩士論文

【摘要】：隨著移動(dòng)互聯(lián)網(wǎng)和大數(shù)據(jù)時(shí)代的到來(lái),下一代通信網(wǎng)絡(luò)(5G)對(duì)傳輸速率、系統(tǒng)容量、傳輸時(shí)延和系統(tǒng)功耗提出了更加苛刻的要求。面對(duì)上千倍數(shù)據(jù)容量增長(zhǎng)、百倍速率提升、百倍用戶接入的挑戰(zhàn),5G不僅僅是一次簡(jiǎn)單的技術(shù)的更新,更是一次非常大的跨越性發(fā)展、同時(shí)也是一次重大變革,這也意味著網(wǎng)絡(luò)架構(gòu)必須升級(jí)。Massive MIMO技術(shù)具有顯著提高系統(tǒng)頻譜效率、數(shù)據(jù)傳輸速率和用戶容量以及魯棒性等優(yōu)點(diǎn),被業(yè)界公認(rèn)為5G最有潛力的候選技術(shù)之一。原型化在5G發(fā)展過程中是一個(gè)非常關(guān)鍵的步驟,是推動(dòng)5G從概念到實(shí)現(xiàn)的必備環(huán)節(jié)。搭建基于軟件無(wú)線電(SDR,Software Defined Radio)的Massive MIMO原型驗(yàn)證平臺(tái)是實(shí)現(xiàn)5G從理論到應(yīng)用的重要手段。本文搭建了基于NI軟件無(wú)線電設(shè)備的64天線TDD傳輸模式的Massive MIMO原型驗(yàn)證平臺(tái),并完成了基于USRP-RIO的MIMO-OFDM信道估計(jì)的研究,所做的主要工作如下:搭建了Massive MIMO原型驗(yàn)證平臺(tái),設(shè)計(jì)了基站和UE的收發(fā)信機(jī)軟硬件系統(tǒng)。設(shè)計(jì)搭建Massive MIMO基站軟硬件系統(tǒng),主要編寫了基于LabVIEW FPGA的Massive MIMO基站接收端的信道估計(jì)(LMMSE、LS)程序和聯(lián)合調(diào)試工作。并對(duì)兩種信道估計(jì)在Massive MIMO平臺(tái)上的性能做了驗(yàn)證和對(duì)比分析;基于LTE10.1協(xié)議,搭建了Massive MIMO UE端收發(fā)信系統(tǒng),對(duì)UE端系統(tǒng)架構(gòu)進(jìn)行了軟件設(shè)計(jì),主要包括上位機(jī)端射頻收發(fā)模塊、基帶發(fā)送處理模塊、基帶接收處理模塊,以及系統(tǒng)導(dǎo)頻結(jié)構(gòu)、幀結(jié)構(gòu)、調(diào)制方式等控制信息的設(shè)計(jì);最后,聯(lián)合基站端和UE端對(duì)Massive MIMO原型驗(yàn)證平臺(tái)進(jìn)行了功能性測(cè)試和信道估計(jì)算法的驗(yàn)證,最終驗(yàn)證了該平臺(tái)搭建的正確性和可行性。設(shè)計(jì)搭建了基于NI USRP-RIO軟件無(wú)線電平臺(tái)的2×2 MIMO-OFDM通信系統(tǒng),并對(duì)該系統(tǒng)信道估計(jì)進(jìn)行了研究。重點(diǎn)對(duì)該系統(tǒng)的接收模塊和發(fā)送模塊進(jìn)行了上位機(jī)LabVIEW程序的設(shè)計(jì),主要包括信道編解碼、數(shù)字調(diào)制與解調(diào)、Alamouti編譯碼、OFDM調(diào)制解調(diào)、符號(hào)同步,信道估計(jì)等。然后,搭建了該系統(tǒng)的仿真系統(tǒng),并對(duì)該仿真系統(tǒng)和實(shí)際平臺(tái)下的信道估計(jì)算法(LS、DFT-LS)進(jìn)行了測(cè)試和對(duì)比分析。測(cè)試結(jié)果表明,在基于對(duì)數(shù)距離路徑損耗模型的萊斯衰落信道環(huán)境下基于DFT的時(shí)域LS信道估計(jì)要優(yōu)于頻域LS信道估計(jì),這一結(jié)果和理論分析相吻合,同時(shí)也驗(yàn)證了該系統(tǒng)搭建的正確性。
[Abstract]:With the advent of the era of mobile Internet and big data, the next generation communication network (NGN) has put forward more stringent requirements on transmission rate, system capacity, transmission delay and power consumption.In the face of thousands of times the growth of data capacity, 100 times the speed of 100 times, and the challenge of 100 times user access, 5G is not only a simple technological update, but also a very big leap forward, but also a major change.This means that the network architecture must be upgraded. Massive MIMO technology has the advantages of improving system spectrum efficiency, data transmission rate, user capacity and robustness, and is recognized as one of the most promising candidate technologies for 5G.Prototyping is a very critical step in the development of 5G, which is a necessary step to push 5G from concept to realization.It is an important means to realize 5G from theory to application to build Massive MIMO prototype verification platform based on software radio SDRN software Defined.In this paper, the Massive MIMO prototype verification platform of 64-antenna TDD transmission mode based on NI software radio equipment is built, and the research of MIMO-OFDM channel estimation based on USRP-RIO is completed. The main work is as follows: a Massive MIMO prototype verification platform is built.The hardware and software system of base station and UE transceiver are designed.The hardware and software system of Massive MIMO base station is designed and built. The channel estimation program of Massive MIMO base station receiver based on LabVIEW FPGA and the joint debugging work are mainly written.The performance of the two channel estimators on the Massive MIMO platform is verified and compared. Based on the LTE10.1 protocol, the Massive MIMO UE terminal transceiver system is built, and the UE end system architecture is designed, including the upper computer RF transceiver module.Baseband transmission processing module, baseband receiving processing module, and system pilot structure, frame structure, modulation mode and other control information design; finally,The functional test and channel estimation algorithm of Massive MIMO prototype verification platform are verified by the joint base station and UE terminal. Finally, the correctness and feasibility of the platform are verified.A 2 脳 2 MIMO-OFDM communication system based on NI USRP-RIO software radio platform is designed and built, and the channel estimation of the system is studied.This paper focuses on the design of LabVIEW program for the receiving and transmitting modules of the system, including channel coding and decoding, digital modulation and demodulation, symbol synchronization, channel estimation and so on.Then, the simulation system of the system is built, and the simulation system and the channel estimation algorithm based on the actual platform are tested and compared.The test results show that the time-domain LS channel estimation based on DFT is superior to the frequency-domain LS channel estimation in Rice fading channel environment based on logarithmic distance path loss model, which is consistent with the theoretical analysis.At the same time, the correctness of the system is verified.
【學(xué)位授予單位】：鄭州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN919.3

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