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  本文選題：多輸入多輸出 + 正交頻分復(fù)用　； 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：多輸入多輸出(Multi-Input Multi-Output,MIMO)技術(shù)在提升通信系統(tǒng)容量、提高傳輸速率、改善傳輸質(zhì)量等方面具有明顯的優(yōu)勢,進一步挖掘MIMO技術(shù)的性能優(yōu)勢在未來的5G通信中備受關(guān)注�；谡活l分復(fù)用的索引調(diào)制(Orthogonal Frequency Division Multiple with Index Modulation,OFDM-IM)技術(shù)具有能效高、抗頻偏強等特點,適用于5G通信中的高可靠、低功耗等應(yīng)用場景。稀疏碼多址(Sparse Code Multiple Access,SCMA)技術(shù)是非正交多址技術(shù)的候選技術(shù)之一,可以提供更多的連接數(shù)和更高的頻譜效率,在5G通信中的海量連接應(yīng)用場景方面具有巨大潛力。面向5G通信,單一的傳輸技術(shù)將難以滿足多種新興業(yè)務(wù)的需求,針對不同的場景,5G系統(tǒng)的設(shè)計很可能采取不同的傳輸技術(shù)。因此,本論文基于MIMO信道,對多天線的OFDM-IM和SCMA系統(tǒng)進行了研究,分析了現(xiàn)有檢測算法的優(yōu)勢和不足,并針對這兩種不同的系統(tǒng)分別提出了改進型的算法,在誤比特率性能和實現(xiàn)復(fù)雜度之間取得更好的平衡。本文的具體工作如下:第一章首先回顧移動通信的演變歷程,然后詳細介紹了5G的研究現(xiàn)狀,最后介紹了本文的主要內(nèi)容和安排。第二章對未來5G通信系統(tǒng)的潛在無線傳輸技術(shù)進行了概述。對MIMO技術(shù)、OFDM-IM技術(shù)、SCMA技術(shù)的系統(tǒng)模型、技術(shù)特征以及經(jīng)典的檢測算法進行了分析和介紹。第三章對基于OFDM-IM的多天線系統(tǒng)的檢測算法進行了研究。首先介紹了多天線的OFDM-IM系統(tǒng)模型以及經(jīng)典檢測算法。針對現(xiàn)有算法的不足,提出了兩種改進的算法。最后,對多天線的OFDM-IM系統(tǒng)中的檢測算法進行了理論仿真和分析,并給出了誤比特率性能分析和復(fù)雜度比較。第四章對基于SCMA的多天線系統(tǒng)的檢測算法進行了研究。首先介紹了多天線的SCMA系統(tǒng)模型,并總結(jié)了三種常用的檢測算法。根據(jù)現(xiàn)有檢測算法存在復(fù)雜度高或誤比特率性能差等缺陷,提出了三種低復(fù)雜度的檢測算法。最后,對多天線的SCMA系統(tǒng)中的檢測算法進行了理論仿真和分析,并給出了誤比特率性能分析和復(fù)雜度比較。第五章對全文進行了總結(jié),并探討了未來的研究點。
[Abstract]:Multi-Input Multi-Output MIMO (Multi-Input Multi-Output Mimo) technology has obvious advantages in improving the capacity of communication system, improving the transmission rate and improving the transmission quality, and further mining the performance advantage of MIMO technology has attracted much attention in the future 5G communication. Orthogonal Frequency Division Multiple with Index Modulation (OFDM-IMM) based on orthogonal Frequency Division Multiplexing (OFDM-IMA) has the advantages of high energy efficiency and strong anti-frequency. It is suitable for 5G communication applications such as high reliability and low power consumption. Sparse code multiple access Code Multiple (Sparse Code Multiple) is one of the candidate technologies for non-orthogonal multiple access technology, which can provide more connections and higher spectral efficiency. It has great potential in massive connection application scenarios in 5G communications. For 5G communication, a single transmission technology will be difficult to meet the needs of a variety of emerging services. Different transmission technologies are likely to be adopted in the design of 5G systems for different scenarios. Therefore, based on the MIMO channel, this paper studies the multi-antenna OFDM-IM and SCMA systems, analyzes the advantages and disadvantages of the existing detection algorithms, and proposes an improved algorithm for the two different systems. A better balance between bit error rate performance and implementation complexity is achieved. The main work of this paper is as follows: in the first chapter, the evolution of mobile communication is reviewed, then the research status of 5G is introduced in detail. Finally, the main content and arrangement of this paper are introduced. In the second chapter, the potential wireless transmission technology of 5 G communication system in the future is summarized. This paper analyzes and introduces the system model, technical characteristics and classical detection algorithms of MIMO technology and OFDM-IM technology. In chapter 3, the detection algorithm of multi-antenna system based on OFDM-IM is studied. Firstly, the OFDM-IM system model of multi-antenna and the classical detection algorithm are introduced. Aiming at the deficiency of the existing algorithms, two improved algorithms are proposed. Finally, the detection algorithm in multi-antenna OFDM-IM system is simulated and analyzed theoretically, and the BER performance analysis and complexity comparison are given. In chapter 4, the detection algorithm of multi-antenna system based on SCMA is studied. Firstly, the SCMA system model of multiple antennas is introduced, and three common detection algorithms are summarized. According to the shortcomings of the existing detection algorithms, such as high complexity or poor bit error rate (BER), three low complexity detection algorithms are proposed. Finally, the detection algorithm in multi-antenna SCMA system is simulated and analyzed theoretically, and the BER performance analysis and complexity comparison are given. The fifth chapter summarizes the full text and discusses the future research points.
【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】：2017
【分類號】：TN929.5;TN919.3

【參考文獻】

相關(guān)碩士學(xué)位論文 前1條

1 徐斌;基于索引調(diào)制的寬帶MIMO-OFDM無線傳輸技術(shù)研究[D];電子科技大學(xué);2016年

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本文編號：1929262