【摘要】：隨著通信技術(shù)的快速發(fā)展,人們對數(shù)據(jù)傳輸?shù)乃俾屎腿萘康囊笤絹碓礁?如何在有限的頻帶資源內(nèi)來滿足這種高要求是一個(gè)非常重要的課題。多輸入多輸出技術(shù)因?yàn)榭梢栽黾酉到y(tǒng)的傳輸速率而得到了快速的發(fā)展。為了支持高密度的用戶進(jìn)行通信,未來將采用宏基站和眾多微基站混合的異構(gòu)網(wǎng)絡(luò)。而在異構(gòu)網(wǎng)絡(luò)中存在的小區(qū)間的干擾和用戶間的干擾會大大影響系統(tǒng)的自由度。為了解決異構(gòu)網(wǎng)絡(luò)中嚴(yán)重的干擾問題,近年來提出了許多方案對干擾進(jìn)行管理,其中干擾對齊是一種關(guān)鍵技術(shù)。對齊技術(shù)主要是通過將多個(gè)干擾信道進(jìn)行管理,使得這些干擾信號占據(jù)一個(gè)維度更小的空間,來為期望信號提供更大的傳輸空間。首先,介紹了MIMO技術(shù)和異構(gòu)網(wǎng)絡(luò),研究了干擾對齊技術(shù)的基本原理以及核心思想,同時(shí)利用自由度來衡量系統(tǒng)容量。其次,詳細(xì)分析了一種適用于MIMO同構(gòu)網(wǎng)絡(luò)的干擾對齊方案。該方案利用零空間的思想實(shí)現(xiàn)干擾消除。但這種算法僅適用于同構(gòu)網(wǎng)絡(luò),并沒有提出異構(gòu)網(wǎng)絡(luò)下可行的干擾對齊算法。此外,研究了一種適用于MIMO異構(gòu)網(wǎng)絡(luò)的非迭代的干擾對齊方案。該方案利用合理分配干擾信道的方法進(jìn)行干擾對齊和消除。然而,這種算法只適用于宏用戶和微用戶擁有固定數(shù)據(jù)流的場景。針對現(xiàn)有方案的不足之處,本文提出了一種適用于MIMO下行異構(gòu)網(wǎng)絡(luò)的基于二級零空間和干擾子空間分配的干擾對齊方案,同時(shí)給出了本方案可行的天線約束條件。本方案利用二級零空間技術(shù)消除微基站對宏用戶的干擾以及微基站對其他微小區(qū)中用戶的干擾。具體來說,第一級零空間用來消除宏基站對微用戶的干擾,而第二級零空間用來消除微基站對其他微基站中微用戶的干擾。同時(shí),使用干擾子空間分配方法先將微基站對所有宏用戶的干擾對齊到若干個(gè)干擾空間中,并對此小區(qū)間干擾以及微用戶之間的干擾進(jìn)行消除。然后使用迫零的算法來消除用戶之間的干擾。本文提出的基于二級零空間和干擾子空間分配的干擾對齊技術(shù)可以有效地消除用戶接收到的小區(qū)間干擾和用戶間干擾。最后,針對本文提出的算法,在相同的系統(tǒng)配置下,通過系統(tǒng)仿真與現(xiàn)有干擾對齊方案的可達(dá)自由度進(jìn)行對比分析。根據(jù)仿真結(jié)果,可以得出本文提出的基于二級零空間和干擾子空間分配的干擾對齊技術(shù)可以獲得更大的可達(dá)自由度。
[Abstract]:With the rapid development of communication technology, the demand of data transmission rate and capacity is becoming higher and higher. How to meet this high demand in the limited frequency band is a very important issue. Multi-input multi-output technology has been developed rapidly because it can increase the transmission rate of the system. In order to support the communication of high density users, a heterogeneous network with a mixture of Acer stations and many microbase stations will be adopted in the future. However, intercellular interference and interuser interference in heterogeneous networks will greatly affect the degree of freedom of the system. In order to solve the serious interference problem in heterogeneous networks, many schemes have been proposed in recent years to manage interference, among which interference alignment is a key technology. Alignment technology mainly manages multiple interference channels to make these interference signals occupy a smaller space in order to provide a larger transmission space for desired signals. Firstly, the MIMO technology and heterogeneous network are introduced, and the basic principle and core idea of interference alignment technology are studied. At the same time, the system capacity is measured by degrees of freedom. Secondly, an interference alignment scheme suitable for MIMO isomorphism network is analyzed in detail. The scheme uses the idea of zero space to eliminate interference. However, this algorithm is only suitable for isomorphic networks and does not propose a feasible interference alignment algorithm for heterogeneous networks. In addition, a non-iterative interference alignment scheme for MIMO heterogeneous networks is studied. The scheme uses reasonable allocation of interference channels to align and eliminate interference. However, this algorithm is only suitable for scenarios where macro and micro users have fixed data streams. In view of the shortcomings of the existing schemes, this paper proposes an interference alignment scheme based on two-stage null space and interference subspace allocation for MIMO downlink heterogeneous networks. At the same time, the feasible antenna constraints of this scheme are given. In this scheme, the interference of microbase station to macro user and the interference of microbase station to other users in microcell are eliminated by using two-stage null space technology. Specifically, the first stage zero space is used to eliminate the interference of the macro base station to the micro user, and the second stage zero space is used to eliminate the interference of the micro base station to the micro user in the other micro base stations. At the same time, interference subspace allocation method is used to first align the interference of microbase station to all macro users into several interference spaces, and eliminate the interference between microusers and this inter-cell interference. A zero-forcing algorithm is then used to eliminate interference between users. The proposed interference alignment technique based on two-stage null space and interference subspace allocation can effectively eliminate inter-cell interference and inter-user interference received by users. Finally, for the proposed algorithm, under the same system configuration, the system simulation is compared with the available interference alignment scheme of the reachable degree of freedom. Based on the simulation results, it can be concluded that the proposed interference alignment technique based on two-level null space and interference subspace allocation can obtain greater degree of freedom.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN919.3

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