本文選題：Femtocell + Macrocell　； 參考：《江蘇科技大學(xué)》2017年碩士論文

【摘要】：近年來,室內(nèi)語音和數(shù)據(jù)業(yè)務(wù)多發(fā),人們對數(shù)據(jù)服務(wù)質(zhì)量(Quality of Service,QoS)要求越來越高,傳統(tǒng)的宏蜂窩(Macrocell)已不能滿足當(dāng)今人們對通信數(shù)據(jù)業(yè)務(wù)的需求,如何有效減少通信網(wǎng)絡(luò)能源消耗、高效利用頻譜資源是運營商下一步必須解決的技術(shù)問題。與傳統(tǒng)的Macrocell網(wǎng)絡(luò)相比,Femtocell是一種新型的網(wǎng)絡(luò)模式,具有覆蓋范圍小、功率低、成低本且用戶可自行安裝的優(yōu)點。然而,由于頻譜資源的稀缺性,Macrocell和Femtocell必須分享頻率帶寬,從而導(dǎo)致Macrocell和Femtocell之間跨層、共信道干擾的問題。為了保證在一個Macrocell覆蓋范圍內(nèi)多個Femtocell的QoS,必須對如何有效處理Macrocell和Femtocell構(gòu)成的兩層網(wǎng)絡(luò)中的干擾進(jìn)行研究。本文對Macrocell和Femtocell構(gòu)成的兩層網(wǎng)絡(luò)的干擾問題進(jìn)行分析研究,利用干擾對齊技術(shù)的思想通過在發(fā)送端設(shè)計波束成型矩陣,使每個接收端的干擾對齊到相同子空間中,這樣,有用信號就能在無干擾子空間中傳輸。全文工作概括如下:首先介紹了兩層異構(gòu)網(wǎng)絡(luò)的背景現(xiàn)狀、Femtocell的關(guān)鍵技術(shù)和Femtocell網(wǎng)絡(luò)中存在的干擾,其次介紹了干擾對齊技術(shù)和隨機(jī)幾何理論。再次,為了降低密集部署條件下干擾分析的復(fù)雜度,本文提出了一種兩層網(wǎng)絡(luò)中基于K-Medoids算法的分簇干擾對齊方法。本文考慮了基于隨機(jī)幾何理論的三維Femtocell網(wǎng)絡(luò)結(jié)構(gòu)模型,特別是符合三維泊松點過程分布的Femtocell網(wǎng)絡(luò)模型。以K-Medoids算法為聚類原則對飛蜂窩基站用戶對進(jìn)行分簇,最后利用干擾對齊技術(shù)消除每個簇內(nèi)的同層干擾,減小了干擾管理復(fù)雜度,適用于實際的通信系統(tǒng)。最后,為了降低干擾對齊的處理開銷和提高系統(tǒng)性能,給出一種基于預(yù)編碼和用戶調(diào)度的干擾對齊方案。該方案應(yīng)用隨機(jī)幾何理論對網(wǎng)絡(luò)進(jìn)行建模,再基于信漏噪比(Signal to Leakage plus Noise Ratio,SLNR)算法進(jìn)行用戶調(diào)度,得到每個基站的調(diào)度用戶集,最后,基站基于最大SLNR的干擾對齊算法消除來自其他用戶的上行干擾。仿真表明,相比傳統(tǒng)的干擾對齊方案所提方案在系統(tǒng)容量上有明顯的提升。
[Abstract]:In recent years, there are many indoor voice and data services, and people are demanding more and more high quality of service (QoS). The traditional Macroceller (Macrocell) can not meet the demand of communication data service, so how to reduce the energy consumption of communication network effectively? Efficient use of spectrum resources is the next step operators must solve the technical problems. Compared with the traditional Macrocell network, Femtocell is a new type of network mode, which has the advantages of small coverage, low power, low cost and users can install themselves. However, due to the scarcity of spectrum resources, Macrocell and Femtocell must share frequency bandwidth, which leads to cross-layer and co-channel interference between Macrocell and Femtocell. In order to ensure the QoS of multiple Femtocell within one Macrocell coverage, it is necessary to study how to deal with the interference effectively in the two-layer network composed of Macrocell and Femtocell. In this paper, the interference problem of the two-layer network composed of Macrocell and Femtocell is analyzed and studied. By designing the beamforming matrix at the transmitter, the interference of each receiver can be aligned to the same subspace by using the idea of interference alignment. Useful signals can then be transmitted in a non-interference subspace. The work of this paper is summarized as follows: firstly, the background of two-layer heterogeneous network is introduced. The key technology of Femtocell and the interference in Femtocell network are introduced. Secondly, the interference alignment technique and random geometry theory are introduced. Thirdly, in order to reduce the complexity of interference analysis in dense deployment, a clustering interference alignment method based on K-Medoids algorithm is proposed in this paper. In this paper, three dimensional Femtocell network model based on stochastic geometry theory is considered, especially the Femtocell network model which accords with the distribution of three dimensional Poisson point process. Based on the clustering principle of K-Medoids algorithm, the user pairs of flying cellular base stations are clustered. Finally, the interference alignment technique is used to eliminate the same layer interference in each cluster, which reduces the complexity of interference management and is suitable for practical communication systems. Finally, in order to reduce the processing overhead of interference alignment and improve the performance of the system, a interference alignment scheme based on precoding and user scheduling is proposed. In this scheme, stochastic geometry theory is used to model the network, and then the user scheduling is based on signal to Leakage plus Noise Ratio SLNR algorithm. Finally, the scheduling user set of each base station is obtained. The interference alignment algorithm based on maximum SLNR is used to eliminate the uplink interference from other users. The simulation results show that compared with the traditional interference alignment scheme, the system capacity is improved obviously.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5

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