本文選題：分布式MIMO + 信道容量�。� 參考：《南京郵電大學》2017年碩士論文

【摘要】：通信技術的出現(xiàn),改變了人們的生活。隨著社會的進步和通信技術的迅猛發(fā)展,通信業(yè)務也逐漸走向多元化,從傳統(tǒng)的話音通信逐步發(fā)展成為如今的多媒體通信,人們對通信質量的要求越來越高,這對移動通信提出了更高的要求。如何在有限的頻譜資源條件下,提高信道容量和信息傳輸速率,增大頻譜利用率,成為人們研究的焦點問題。MIMO技術的誕生,為解決這一問題提供了新的研究方向。多輸入多輸出(Multiple Input Multiple Output,MIMO)技術指在發(fā)射端和接收端分別使用多個發(fā)射天線和多個接收天線進行信息的發(fā)送和接收,從而改善通信質量。MIMO技術能夠充分地利用空間資源,在不增加頻譜和天線發(fā)射功率的前提下,可以成倍地提高系統(tǒng)的信道容量,顯示出明顯的優(yōu)勢。分布式天線系統(tǒng)是未來無線通信的開放式架構系統(tǒng),具有覆蓋均勻、減少盲區(qū)等優(yōu)點。分布式MIMO系統(tǒng)是將MIMO技術和分布式天線技術相結合的產(chǎn)物。與集中式MIMO系統(tǒng)相比,分布式MIMO系統(tǒng)具有更大的平均信道容量,更低的發(fā)射功率,更低的系統(tǒng)部署費用等優(yōu)勢。但是MIMO系統(tǒng)和分布式MIMO系統(tǒng)由于多天線的應用,射頻鏈路也會相應地增加,最終會導致系統(tǒng)復雜度的增加和硬件成本的提高。天線選擇技術被認為是一種能夠有效降低系統(tǒng)的成本和復雜度的有效方法。天線選擇的準則主要有兩種,分別為信道容量最大準則和接收誤碼率最小準則。本文主要基于分布式MIMO系統(tǒng)對天線選擇算法進行相應的研究,以最大化系統(tǒng)容量和降低復雜度為目標。論文首先從MIMO系統(tǒng)入手,研究MIMO系統(tǒng)的傳輸模型,并推導出MIMO系統(tǒng)的信道容量。其次從MIMO系統(tǒng)的信道容量推導出分布式MIMO系統(tǒng)的信道容量,并對分布式MIMO系統(tǒng)容量和集中式MIMO系統(tǒng)容量進行仿真分析和比較,說明分布式MIMO系統(tǒng)比集中式MIMO系統(tǒng)具有更高的系統(tǒng)容量和更均勻的覆蓋率等優(yōu)勢。然后對MIMO系統(tǒng)的幾種經(jīng)典的天線選擇算法進行對比分析,并將這幾種經(jīng)典天線選擇算法應用于分布式MIMO系統(tǒng)中進行仿真分析,證明應用天線選擇技術可以效地降低系統(tǒng)的復雜度。最后,本文基于經(jīng)典算法的核心思想給出了兩種以端口選擇為基礎的天線選擇算法,并與經(jīng)典算法進行仿真對比。仿真結果表明:新算法能夠有效地降低系統(tǒng)的復雜度,與最優(yōu)算法相比,只有極小的信道容量損失,明顯地降低了天線選擇所耗費的時間。
[Abstract]:The advent of communication technology has changed people's lives. With the development of the society and the rapid development of communication technology, the communication business is becoming more and more diversified, from the traditional voice communication to the multimedia communication. This puts forward higher requirements for mobile communications. How to improve the channel capacity and the rate of information transmission and increase the spectrum efficiency under the condition of limited spectrum resources has become the focus of research. MIMO technology has provided a new research direction for solving this problem. Multiple-output Input Multiple output Mimo (Mimo) technology refers to the use of multiple transmit antennas and multiple receiving antennas to transmit and receive information at the transmitter and receiver, respectively, so as to improve the communication quality. MIMO technology can make full use of space resources. Without increasing the frequency spectrum and antenna transmitting power, the channel capacity of the system can be increased exponentially, showing obvious advantages. Distributed antenna system is an open architecture system for wireless communication in the future. It has the advantages of uniform coverage and less blind area. Distributed MIMO system is a combination of MIMO technology and distributed antenna technology. Compared with the centralized MIMO system, the distributed MIMO system has the advantages of larger average channel capacity, lower transmit power and lower system deployment cost. However, because of the application of multiple antennas in MIMO system and distributed MIMO system, the RF link will increase correspondingly, which will eventually lead to the increase of system complexity and the increase of hardware cost. Antenna selection is considered to be an effective method to reduce the cost and complexity of the system. There are two main criteria for antenna selection, one is the maximum channel capacity criterion and the other is the minimum bit error rate criterion. In this paper, the antenna selection algorithm based on distributed MIMO system is studied in order to maximize the system capacity and reduce the complexity. Firstly, the transmission model of MIMO system is studied from MIMO system, and the channel capacity of MIMO system is deduced. Secondly, the channel capacity of distributed MIMO system is deduced from the channel capacity of MIMO system, and the simulation analysis and comparison of distributed MIMO system capacity and centralized MIMO system capacity are carried out. It shows that distributed MIMO system has higher system capacity and more uniform coverage than centralized MIMO system. Then several classical antenna selection algorithms of MIMO system are compared and analyzed, and these classical antenna selection algorithms are applied to distributed MIMO system for simulation analysis. It is proved that using antenna selection technique can effectively reduce the complexity of the system. Finally, based on the core idea of classical algorithms, two antenna selection algorithms based on port selection are presented and compared with the classical algorithms. Simulation results show that the new algorithm can effectively reduce the complexity of the system, compared with the optimal algorithm, there is only a minimal loss of channel capacity, which significantly reduces the time spent in antenna selection.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN919.3

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