【摘要】：干擾對(duì)齊(Interference Alignment,IA)是目前的研究熱點(diǎn),該技術(shù)能有效提高干擾網(wǎng)絡(luò)的容量,改善傳統(tǒng)方式中有線和無線網(wǎng)絡(luò)吞吐量受限的問題。其核心思想是將干擾信號(hào)壓縮到盡可能小的干擾空間中,以預(yù)留更多的空間無干擾的傳輸有用信號(hào)。研究表明,在理想情況下,如全局信道信息、無限的分辨率及帶寬、高信號(hào)強(qiáng)度和延遲等,干擾對(duì)齊能夠提供最優(yōu)的信道自由度。然而,在實(shí)際通信過程中,干擾對(duì)齊技術(shù)的應(yīng)用仍面臨很多挑戰(zhàn):迭代干擾對(duì)齊算法的復(fù)雜度高;干擾的對(duì)齊需要比較高的信號(hào)維度;中繼輔助干擾對(duì)齊算法對(duì)時(shí)變信道適應(yīng)能力差。本文針對(duì)實(shí)際系統(tǒng)中存在的若干問題展開研究,提出相應(yīng)的干擾對(duì)齊算法。1.針對(duì)傳統(tǒng)迭代干擾對(duì)齊算法復(fù)雜度高的問題,研究了機(jī)會(huì)干擾對(duì)齊及其改進(jìn)算法。機(jī)會(huì)干擾對(duì)齊利用用戶分集,選擇信道較好的用戶,降低了系統(tǒng)中的干擾泄漏程度,從而達(dá)到干擾對(duì)齊的目的。但是,在實(shí)際的通信系統(tǒng)中,可供選擇的用戶數(shù)目較少,系統(tǒng)中干擾泄漏的可能性增大,這制約了機(jī)會(huì)干擾對(duì)齊算法的性能。針對(duì)此問題,提出了機(jī)會(huì)干擾對(duì)齊改進(jìn)算法。具體的,以各用戶干擾泄漏矩陣的最小特征值為度量,選取干擾泄漏最小的用戶進(jìn)行通信。同時(shí),結(jié)合信道狀態(tài)信息及用戶波束成形的信息,基站可通過奇異值分解(Singular Value Decomposition,SVD)選取濾波器,使干擾方向更有效的壓縮在干擾空間內(nèi)。另外,針對(duì)實(shí)際系統(tǒng)中獲得的信道狀態(tài)信息存在誤差的問題,提出了能有效提高信干噪比的干擾對(duì)齊改進(jìn)算法。該算法通過降低系統(tǒng)中可確定的干擾功率,進(jìn)而減少系統(tǒng)總的干擾信號(hào)功率。2.針對(duì)實(shí)際系統(tǒng)中信號(hào)空間維度不夠高且完美信道狀態(tài)信息獲取難的問題,研究了K個(gè)用戶SISO干擾信道的盲干擾對(duì)齊算法。算法利用非對(duì)稱復(fù)信號(hào)(Asymmetric Complex signaling,AC signaling)的設(shè)計(jì),增加了信號(hào)空間的維度,有效地解決了單天線約束問題,從而實(shí)現(xiàn)了盲干擾對(duì)齊。此外,本文證明了K個(gè)用戶干擾信道的系統(tǒng)自由度達(dá)到K/2,這同時(shí)也是發(fā)射端信道狀態(tài)信息已知時(shí)系統(tǒng)自由度的上限。并對(duì)其系統(tǒng)性能通過仿真驗(yàn)證。3.針對(duì)中繼輔助干擾對(duì)齊算法對(duì)時(shí)變信道適應(yīng)能力差且算法計(jì)算復(fù)雜度高的問題,提出了改進(jìn)的干擾對(duì)齊算法。首先,在中繼SISO系統(tǒng)中,利用AC signaling的設(shè)計(jì),增加了信號(hào)空間的維度,有效解決中繼輔助的有限信道符號(hào)擴(kuò)展的問題。分析了中繼端通過信道信息設(shè)計(jì)接收端的濾波器,實(shí)現(xiàn)干擾對(duì)齊,并仿真驗(yàn)證了與用戶間無干擾理想情況的性能相當(dāng)。其次,針對(duì)節(jié)點(diǎn)天線數(shù)對(duì)系統(tǒng)吞吐量的影響與約束,研究了中繼MIMO系統(tǒng)的干擾對(duì)齊算法,中繼端通過合理設(shè)計(jì)中繼處理矩陣,使干擾達(dá)到最小或完全消除。與中繼迭代干擾對(duì)齊算法相比,降低了系統(tǒng)復(fù)雜度。最后,為改善半雙工中繼造成的容量損失,研究了兩個(gè)中繼交替轉(zhuǎn)發(fā)的干擾對(duì)齊算法。該算法有效提高了時(shí)隙的利用率,從而改善系統(tǒng)的性能,并通過仿真驗(yàn)證。
[Abstract]:Interference Alignment (IA) is the focus of current research. This technology can effectively improve the capacity of interference network and improve the throughput Limited of wired and wireless networks in traditional methods. The core idea is to compress the interference signal into the small interference space to save more space without interference. The research shows that, in the ideal case, such as global channel information, infinite resolution and bandwidth, high signal intensity and delay, interference alignment can provide the optimal channel freedom. However, in the actual communication process, the application of interference alignment technology still faces many challenges: the complexity of the iterative interference alignment algorithm is high; the interference is the same. It needs a higher signal dimension, and the adaptive interference alignment algorithm is poor in adaptability to the time-varying channel. In this paper, a number of problems existing in the actual system are studied, and the corresponding interference alignment algorithm.1. is proposed for the problem of high complexity of the traditional iterative interference alignment algorithm, and the opportunity interference alignment and its improved algorithm are studied. However, in the actual communication system, the number of users selected is less and the possibility of interference leaks in the system increases, which restricts the performance of the opportunity interference alignment algorithm. In this problem, an improved algorithm for opportunity interference alignment is proposed. Specifically, using the minimum eigenvalue of the interference leakage matrix of each user, the users of the least interference leakage are selected to communicate. At the same time, the base station can select the filter through the Singular Value Decomposition (SVD), combining the channel state information and the information of the user beamforming. In addition, an improved jamming alignment algorithm which can effectively improve the signal to noise ratio is proposed. This algorithm reduces the total interference power.2 of the system by reducing the determined interference power in the system. In view of the problem that the dimension of the signal space is not high and the perfect channel state information is difficult to obtain in the actual system, the blind interference alignment algorithm of K SISO interference channel is studied. The algorithm uses asymmetric complex signal (Asymmetric Complex signaling, AC signaling) to increase the dimension of the signal space, and effectively solves the single antenna approximately. In addition, this paper proves that the system freedom degree of the K user interference channel is K/2, which is also the upper limit of the system freedom degree when the channel state information is known at the transmitter. And the performance of the system is verified by the simulation of the performance of the.3.. And the algorithm has high computational complexity, and an improved interference alignment algorithm is proposed. First, in the relay SISO system, using the design of AC signaling, the dimension of the signal space is added, and the problem of the relay assisted finite channel symbol expansion is effectively solved. The filter of the relay terminal through channel information design receiver is analyzed. The interference alignment and simulation prove that the performance of the undisturbed ideal situation is equal to the user. Secondly, the interference alignment algorithm of the relay MIMO system is studied in the light of the influence and constraints of the number of nodes on the system throughput. The relay ends the interference to minimize or completely eliminate the interference by designing the relay processing matrix properly. The interference alignment with the relay is aligned with the relay. Compared with the algorithm, the complexity of the system is reduced. Finally, in order to improve the capacity loss caused by the half duplex relay, the interference alignment algorithm of two relay alternate forwarding is studied. The algorithm improves the utilization of the time slot effectively, and improves the performance of the system, and the simulation is verified by simulation.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN972

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