本文選題：大規(guī)模MIMO + 線性檢測(cè)算法��； 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：隨著移動(dòng)互聯(lián)網(wǎng)的蓬勃發(fā)展,移動(dòng)數(shù)據(jù)量和接入設(shè)備數(shù)劇增,3G/4G所提供的服務(wù)已漸漸不能滿足人們的需求,關(guān)于5G技術(shù)的研究正在如火如荼地展開。大規(guī)模MIMO技術(shù)作為未來5G移動(dòng)通信的關(guān)鍵技術(shù),通過增加基站天線數(shù),大幅度提高了系統(tǒng)頻譜效率和能量效率。然而隨著基站天線數(shù)的不斷增加,接收端信號(hào)檢測(cè)的復(fù)雜度也不斷增大,成為大規(guī)模MIMO進(jìn)一步應(yīng)用于實(shí)際的瓶頸問題。為此,本文對(duì)大規(guī)模MIMO系統(tǒng)中上行鏈路的檢測(cè)算法進(jìn)行了研究,包括線性檢測(cè)算法和低復(fù)雜度的非線性檢測(cè)算法,并重點(diǎn)分析了一種適用于高階調(diào)制大規(guī)模MIMO系統(tǒng)的EP檢測(cè)算法。本文首先利用大規(guī)模MIMO系統(tǒng)模型,對(duì)線性檢測(cè)算法MRC、ZF以及MMSE進(jìn)行了分析和比較。研究表明,當(dāng)基站接收天線數(shù)目遠(yuǎn)遠(yuǎn)大于發(fā)送天線數(shù)目并且不斷增加至無窮時(shí),信道會(huì)出現(xiàn)兩兩正交特性,此時(shí),最簡(jiǎn)單的線性處理技術(shù)就可以達(dá)到最優(yōu)檢測(cè)性能。但是,這種方法收斂較慢,且在實(shí)際應(yīng)用中發(fā)送天線數(shù)目和接收天線數(shù)目往往相差不大。所以針對(duì)適用于大規(guī)模MIMO系統(tǒng)的低復(fù)雜度非線性檢測(cè)算法的研究依然很有必要的。其次,本文簡(jiǎn)化單用戶系統(tǒng)模型,假設(shè)m(28)n,重點(diǎn)研究了一種基于期望傳播(EP)的適用于高階調(diào)制大規(guī)模MIMO系統(tǒng)的低復(fù)雜度、高精度的信號(hào)檢測(cè)算法,該算法通過構(gòu)造高斯樹逼近后驗(yàn)概率p(7)u y(8)來檢測(cè)信號(hào)。本文對(duì)EP算法原理和計(jì)算復(fù)雜度進(jìn)行了深入研究,并將EP算法與MMSE-SIC、GTA-SIC檢測(cè)算法進(jìn)行了比較。研究表明,EP算法具有健壯性和快速性,不管系統(tǒng)的基站天線數(shù)或者調(diào)制階數(shù)是多少,EP算法總能在性能上遠(yuǎn)遠(yuǎn)優(yōu)于GTA-SIC和MMSE-SIC,而在計(jì)算復(fù)雜度方面僅僅提高了幾倍。
[Abstract]:With the rapid development of mobile Internet, the service provided by 3G / 4G has been unable to meet the needs of people. The research on 5G technology is being carried out in full swing. As the key technology of 5G mobile communication in the future, the large-scale MIMO technology can greatly improve the spectral efficiency and energy efficiency of the system by increasing the number of base station antennas. However, with the increase of the number of base station antennas, the complexity of signal detection at the receiving end is also increasing, which becomes the bottleneck of large-scale MIMO application in practice. Therefore, this paper studies the uplink detection algorithms in large-scale MIMO systems, including linear detection algorithms and low complexity nonlinear detection algorithms. An EP detection algorithm for high order modulation large scale MIMO systems is analyzed. In this paper, a large scale MIMO system model is used to analyze and compare the linear detection algorithms MRCZF and MMSE. The results show that when the number of receiving antennas is much larger than the number of transmitting antennas and increasing to infinity, the channel will have the characteristic of being orthogonal to each other. In this case, the most simple linear processing technique can achieve the optimal detection performance. However, the convergence of this method is slow, and the number of transmitting antennas and receiving antennas is not always different in practical applications. Therefore, it is necessary to study the low complexity nonlinear detection algorithm for large scale MIMO systems. Secondly, this paper simplifies the single-user system model, assumes that map28n, and focuses on a low-complexity and high-precision signal detection algorithm for high-order modulation large-scale MIMO systems, which is based on the expected Propagation Episode (EPV). The algorithm detects signals by constructing a posterior probability of Gao Si tree approximation. In this paper, the principle and computational complexity of EP algorithm are deeply studied, and the comparison between EP algorithm and MMSE-SIC-GTA-SIC detection algorithm is made. The results show that the algorithm is robust and fast. No matter what the number of base station antennas or modulation orders of the system is, the performance of the EP algorithm is far better than that of GTA-SIC and MMSE-SICs, but the computational complexity is improved only a few times.
【學(xué)位授予單位】：南京郵電大學(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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相關(guān)期刊論文 前1條

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本文編號(hào)：1780565