本文選題：MIMO + 干擾對齊�。� 參考：《南京郵電大學》2017年碩士論文

【摘要】：隨著移動通信的普及和廣泛應(yīng)用,用戶在生活中更多的通過移動終端來接入網(wǎng)絡(luò),再加上頻譜是極為有限的資源,這就給系統(tǒng)容量帶來巨大挑戰(zhàn)。MIMO系統(tǒng)在發(fā)送功率和系統(tǒng)帶寬不增加的情況下可以大幅度的提高系統(tǒng)的頻譜利用率,但隨之而來的就是頻譜共享帶來的多用戶間的干擾問題。干擾管理技術(shù)中的一種叫做干擾對齊的技術(shù),比傳統(tǒng)干擾管理技術(shù)性能更好,成為移動通信領(lǐng)域研究的熱點。本文首先對MIMO系統(tǒng)和干擾對齊技術(shù)中的基本概念進行介紹,給出了時域、頻域、空域下干擾對齊的實現(xiàn)方式。接著介紹了最大化信干噪比、最小化加權(quán)干擾泄露、最小均方誤差及交替最小化四種分布式干擾對齊算法。之后對K用戶MIMO干擾網(wǎng)絡(luò)進行深入研究,經(jīng)典干擾對齊方案中忽略了有用信號所經(jīng)歷的信道環(huán)境,系統(tǒng)容量沒有達到最優(yōu)。針對這一問題,給出一種基于SVD分解的預(yù)編碼矩陣優(yōu)化方法,該方法通過對信道矩陣作SVD分解,根據(jù)信道增益特性選出最優(yōu)的特征子信道,然后在矩陣弦距離準則的基礎(chǔ)上,選取與最優(yōu)特征子信道最為匹配的預(yù)編碼矩陣,從而使得接收端信號強度和系統(tǒng)容量得到顯著改善。最后,針對傳統(tǒng)干擾對齊技術(shù)沒有考慮功率分配的缺陷而造成系統(tǒng)資源沒有得到充分利用的情況,給出一種聯(lián)合功率分配和干擾對齊算法,該算法在交替最小化算法的基礎(chǔ)上引入改進的注水功率分配算法,給發(fā)射端的數(shù)據(jù)流分配功率,此算法既可以利用干擾對齊技術(shù)來消除干擾,又可以通過改進的注水功率分配算法來提高系統(tǒng)的總吞吐量,通過仿真比較所提算法與等功率分配時的交替最小化干擾對齊算法的系統(tǒng)性能,顯示出所提算法有效地提高了系統(tǒng)吞吐量且降低了總干擾功率。
[Abstract]:With the popularity and wide application of mobile communication, users are more and more connected to the network through mobile terminals in their daily lives. In addition, the spectrum is a very limited resource. This brings great challenges to the system capacity. MIMO system can greatly improve the spectrum efficiency without increasing transmission power and system bandwidth, but the problem of multi-user interference caused by spectrum sharing follows. One of the interference management techniques called interference alignment is better than the traditional interference management technology and has become a hotspot in the field of mobile communication. In this paper, the basic concepts of MIMO system and interference alignment technology are introduced, and the implementation of interference alignment in time domain, frequency domain and spatial domain is given. Then four distributed interference alignment algorithms including maximization of signal-to-noise ratio, minimization of weighted interference leakage, minimum mean square error and alternating minimization are introduced. Then the K-user MIMO jamming network is deeply studied. The channel environment experienced by the useful signal is neglected in the classical jamming alignment scheme and the system capacity is not optimal. In order to solve this problem, a precoding matrix optimization method based on SVD decomposition is presented. By SVD decomposition of channel matrix, the optimal characteristic subchannel is selected according to channel gain characteristics, and then based on the matrix chord distance criterion, the optimal characteristic subchannel is selected according to the channel gain characteristics. The precoding matrix that matches the optimal feature subchannel is selected to improve the signal strength and system capacity of the receiver. Finally, a joint power allocation and interference alignment algorithm is proposed to solve the problem that the traditional interference alignment technology does not take power allocation into account and the system resources are not fully utilized. Based on the alternating minimization algorithm, an improved water injection power allocation algorithm is introduced to allocate power to the data stream of the transmitter. This algorithm can eliminate the interference by using the interference alignment technique. The total throughput of the system can be improved by the improved water injection power allocation algorithm, and the system performance of the proposed algorithm and the alternative minimization interference alignment algorithm with equal power allocation can be compared by simulation. It shows that the proposed algorithm can effectively improve the system throughput and reduce the total interference power.
【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

【參考文獻】

相關(guān)期刊論文 前1條

1 景振海;白寶明;馬嘯;;頻率選擇性高斯干擾信道中的時頻聯(lián)合干擾對齊方案[J];通信學報;2011年09期

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本文編號：1790054