【摘要】：近些年來無線通信技術的學術界出現(xiàn)了一種新型的干擾管理技術,我們可稱之為干擾對齊技術。該技術核心思想在于通過將接收端接收信號中不同方向的干擾信號對齊到同一方向或同一空間中去,以壓縮干擾信號所占空間從而提高期望信號空間維度來容納有用信號,以此來提升信道容量和通信速率。一方面,干擾對齊技術的出現(xiàn)使得無線干擾網(wǎng)絡的容量產(chǎn)生了飛躍式的增長,之前學者對于干擾網(wǎng)絡容量界限的認識也被大大擴展,這對于下一代通信系統(tǒng)中存在多用戶干擾時的大容量可靠傳輸研究是有極大幫助的;另一方面,通過干擾對齊,自由度的概念被引入,這不僅推動了網(wǎng)絡信息論發(fā)展,更是在研究多用戶多天線干擾信道網(wǎng)絡的容量區(qū)域界限中起到了舉足輕重的作用。然而,現(xiàn)階段干擾對齊距離實際通信系統(tǒng)的應用還有很遠的距離,還存在很多尚未解決的問題。比如:干擾對齊的性能很大程度上受到天線配置,通信流數(shù)以及用戶對數(shù)目的限制;現(xiàn)有的可以通用于不同用戶對數(shù)目干擾信道的對齊方法過于復雜,且復雜度隨用戶數(shù)目增加呈加速上升趨勢。針對以上問題,本論文以改進干擾對齊算法使其適用于實際通信環(huán)境為最終目標,研究并提出改進后的干擾對齊技術方案及算法。文章主要工作如下:1.就傳統(tǒng)多用戶干擾信道的干擾對齊中用戶數(shù)目對于干擾對齊復雜度的影響進行了分析并研究了分簇思想在其中的應用。對于簇內(nèi)的干擾對齊,提出了一種簇內(nèi)非迭代式干擾對齊算法并將其與迭代式最大化SINR對齊法進行比較。仿真結果證明分簇式干擾對齊極大的降低了干擾對齊的復雜度及運行時間,且在少數(shù)特定的通信環(huán)境下其性能優(yōu)于某些全局迭代式干擾對齊算法。2.針對將干擾對齊算法簡單應用于分簇式干擾對齊時易導致簇間干擾強烈從而影響系統(tǒng)性能的情況,從接收端接收信號的干擾成分入手對簇間干擾進行了仿真分析并根據(jù)處理簇間干擾時接收端對非同一簇干擾源信道狀態(tài)信息的利用方式提出并分析了MMSE接收機法與對角載入法這兩種簇間干擾處理方法。仿真結果證明上述兩種方法均在沒有增加或增加很少的運算復雜度及運行時間的前提下有效的處理了簇間干擾。3.針對在實際通信系統(tǒng)中不同干擾鏈路的能量大小不一致的情況,挖掘了干擾信道的統(tǒng)計特性并根據(jù)這種特性研究了基于接收端干擾的分簇算法。然后根據(jù)干擾鏈路的統(tǒng)計信息和系統(tǒng)和速率表達式對鏈路權重做了定義,并根據(jù)權重概念分別從“未分簇用戶挑選簇”和“所分簇挑選未分簇用戶”兩個角度提出并分析了兩種分簇策略。仿真結果證明了這三種分簇策略下的分簇式干擾對齊方法均極大的降低了系統(tǒng)的運算復雜度提升了運行效率,且相對于隨機分簇的方法性能均有明顯的提升。
[Abstract]:In recent years, a new interference management technology has emerged in the academic field of wireless communication technology, which can be called interference alignment technology. The core idea of this technique is to compress the space occupied by the interference signal in the same direction or in the same space, so as to increase the dimension of the desired signal space to accommodate the useful signal. In this way, the channel capacity and communication rate are increased. On the one hand, interference alignment technology has made the capacity of wireless interference network grow by leaps and bounds, and previous scholars' understanding of the limits of interference network capacity has also been greatly expanded. This is of great help to the research of large capacity and reliable transmission in the next generation communication system with multi-user interference. On the other hand, the concept of degree of freedom is introduced through interference alignment, which not only promotes the development of network information theory, but also plays an important role in the study of the capacity limits of multi-user and multi-antenna interference channel networks. However, there is still a long way to go in the application of interference alignment to the actual communication system, and there are still many unsolved problems. For example, the performance of interference alignment is greatly limited by the antenna configuration, the number of traffic and the number of users. The existing alignment methods which can be used for different users are too complex and the complexity increases with the increase of the number of users. Aiming at the above problems, this paper aims at improving the interference alignment algorithm so that it can be applied to the actual communication environment, and proposes an improved interference alignment scheme and algorithm. The main work of this paper is as follows: 1. In this paper, the influence of the number of users on the complexity of interference alignment in traditional multi-user interference channels is analyzed, and the application of clustering theory in interference alignment is studied. For intra-cluster interference alignment, a non-iterative intra-cluster interference alignment algorithm is proposed and compared with iterative maximization SINR alignment method. Simulation results show that clustering interference alignment greatly reduces the complexity and running time of interference alignment, and its performance is superior to that of some global iterative interference alignment algorithms in a few specific communication environments. 2. When the interference alignment algorithm is simply applied to cluster interference alignment, it can easily lead to strong inter-cluster interference and affect the performance of the system. The intercluster interference is simulated and analyzed from the interference components of the received signal at the receiving end, and the MMSE receiver method is proposed and analyzed according to the way in which the receiver uses the channel state information of the non-same cluster interference source when dealing with the inter-cluster interference. And diagonal loading method, which are two kinds of intercluster interference processing methods. The simulation results show that the two methods can effectively deal with the inter-cluster interference without increasing or increasing the computational complexity and running time. The statistical characteristics of the interference channel are excavated and the clustering algorithm based on the interference from the receiver is studied according to the fact that the energy of different interference links is not consistent in the actual communication system. Then the link weight is defined according to the statistical information of the interference link and the system and rate expression. According to the concept of weight, two clustering strategies are proposed and analyzed from the two angles of "selecting the user without clustering" and "selecting the user without clustering by the cluster". The simulation results show that these three clustering interference alignment methods greatly reduce the computational complexity of the system and improve the efficiency of the system, and compared with the random clustering method, the performance of the proposed method is obviously improved.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN972

【共引文獻】

相關博士學位論文 前4條

1 姜建;異構無線網(wǎng)絡中的選擇策略研究[D];西安電子科技大學;2014年

2 石華;異構無線網(wǎng)絡中頻譜資源動態(tài)分配[D];西安電子科技大學;2014年

3 馬驍;異構網(wǎng)絡多網(wǎng)并發(fā)傳輸技術研究[D];西安電子科技大學;2014年

4 閆繼壘;分布式天線系統(tǒng)中的資源優(yōu)化[D];西安電子科技大學;2014年

相關碩士學位論文 前3條

1 葉偉華;D2D通信遠近效應研究[D];北京交通大學;2014年

2 王磊;高架橋環(huán)境下高鐵無線通信信道建模與仿真[D];西南交通大學;2014年

3 許文建;基于SNMP的數(shù)字基站監(jiān)控系統(tǒng)設計與實現(xiàn)[D];華南理工大學;2015年

，

本文編號：2340013