本文關(guān)鍵詞： 波束成形 功率控制 基站分簇 有限基站協(xié)作 干擾協(xié)同　出處：《北京郵電大學(xué)》2014年博士論文　論文類型：學(xué)位論文

【摘要】：多元化移動(dòng)便攜設(shè)備的普及、物聯(lián)網(wǎng)的高速建設(shè)、移動(dòng)互聯(lián)網(wǎng)的多媒體應(yīng)用以及移動(dòng)寬帶接入的發(fā)展共同引爆了無線網(wǎng)絡(luò)中的“數(shù)據(jù)洪峰”；因此,未來移動(dòng)通信系統(tǒng)除了滿足信息可靠傳輸這一基本要求之外,還要能提供更快的傳輸速率,具備更短的傳輸時(shí)延,覆蓋更廣泛的地理范圍,容納更多的接入設(shè)備。從網(wǎng)絡(luò)架構(gòu)、資源利用、分布式信號(hào)處理等領(lǐng)域開展以提高頻譜效率為目的的研究工作迫在眉睫。 無線網(wǎng)絡(luò)的發(fā)展趨勢使干擾成為限制其性能的關(guān)鍵因素,基站協(xié)作被認(rèn)為是解決該問題的有效途徑之一,研究表明該技術(shù)能有效提升小區(qū)邊緣用戶通信質(zhì)量,提高頻譜效率,改善網(wǎng)絡(luò)覆蓋質(zhì)量。因此,開展基于基站協(xié)作的干擾處理技術(shù)具有較高的理論價(jià)值和廣泛的應(yīng)用前景。 本文從資源分配和網(wǎng)絡(luò)架構(gòu)角度出發(fā),研究了多天線基站有限協(xié)作網(wǎng)絡(luò)下行鏈路中的干擾處理技術(shù),利用波束成形、功率控制和基站分簇以主動(dòng)自適應(yīng)方式進(jìn)行干擾協(xié)同,增強(qiáng)了通信鏈路質(zhì)量,提高了網(wǎng)絡(luò)的魯棒性和公平性。本文主要研究內(nèi)容和成果包括以下四個(gè)方面： 第一,研究了基于信漏噪比最大化準(zhǔn)則設(shè)計(jì)波束向量算法中有效管理泄漏功率的問題,提出了一種提高用戶公平性的加權(quán)泄漏功率波束成形算法,并設(shè)計(jì)了相應(yīng)的功率控制策略。典型的信漏噪比最大化方法設(shè)計(jì)波束向量時(shí),存在泄漏功率非公平性分布問題,該問題表現(xiàn)為泄漏功率對信道質(zhì)量較差用戶施加相對更強(qiáng)的破壞。首先,所提方案將攜帶用戶信道質(zhì)量信息的權(quán)重系數(shù)引入到信漏噪比優(yōu)化目標(biāo)中,達(dá)到泄漏功率在多個(gè)用戶間動(dòng)態(tài)“平衡式”分布目的,解決了典型算法中存在的公平性問題。其次,波束向量設(shè)計(jì)考慮了信道信息非理想特性相關(guān)參數(shù),提高了網(wǎng)絡(luò)的魯棒性能。最后,功率控制算法利用加權(quán)信漏噪比信息完成動(dòng)態(tài)功率分配,提高了系統(tǒng)可靠性。 第二,在基站協(xié)作回傳鏈路及信令開銷受限條件下,研究了基于本地局部信道信息進(jìn)行分布式波束成形設(shè)計(jì)和功率控制的問題。首先,建立基站功率約束下的網(wǎng)絡(luò)和容量最大化的數(shù)學(xué)模型；其次,利用離散化方法將功率優(yōu)化空間簡化,降低計(jì)算復(fù)雜度；再次,利用本地局部信道信息設(shè)計(jì)相應(yīng)的波束成形向量并根據(jù)貪婪準(zhǔn)則設(shè)計(jì)功率分配算法；最后,分析了算法復(fù)雜度及部署方法。仿真結(jié)果表明,該方案在保證用戶公平性條件下,以較低的計(jì)算復(fù)雜度獲得了較高的頻譜效率,為解決基于波束成形與功率控制的干擾處理問題提供了一種可行方案。 第三,研究了基站有限協(xié)作網(wǎng)絡(luò)中基站分簇問題,提出一種基于連接圖及啟發(fā)式效用函數(shù)的動(dòng)態(tài)基站分簇方案。首先,建立基于基站分簇和基站功率受限條件下的和容量最大化問題；然后,利用基站協(xié)作關(guān)系映射產(chǎn)生的連接圖,簡化基站分簇搜索空間；其次,提出一種基于統(tǒng)計(jì)干擾信道增益和的效用函數(shù)來衡量連接圖中邊的對應(yīng)權(quán)重；最后,依據(jù)連接圖提供的搜索路徑,利用啟發(fā)式效用函數(shù)快速動(dòng)態(tài)地建立基站分簇。仿真結(jié)果表明,所提方案充分利用了基站協(xié)作提供的宏分集增益,以較低的計(jì)算復(fù)雜度接近了最優(yōu)方案的性能,并具備了對抗信道信息錯(cuò)誤的魯棒性能。 第四,研究基于動(dòng)態(tài)基站分簇和波束成形進(jìn)行聯(lián)合干擾處理的問題,提出了基于泄漏功率和統(tǒng)一設(shè)計(jì)基站分簇算法與波束成形的干擾協(xié)同框架。首先,建立了泄漏信道信息概念,以基站簇為整體分析其中泄漏功率和的數(shù)學(xué)表達(dá)式意義；然后,依據(jù)泄漏功率和最大化準(zhǔn)則以動(dòng)態(tài)方式形成基站分簇,將網(wǎng)絡(luò)中的干擾更多地轉(zhuǎn)變?yōu)榇貎?nèi)干擾；其次,利用基于信漏噪比最大化算法的簇內(nèi)協(xié)作波束成形對泄漏干擾進(jìn)行抑制。仿真結(jié)果表明,所提方案提高了用戶平均容量及邊緣用戶容量,實(shí)現(xiàn)了計(jì)算復(fù)雜度及性能增益折中,具備了接近最優(yōu)方案的中斷概率性能。
[Abstract]:The popularity of diversified mobile devices, high-speed construction of things, mobile Internet and mobile broadband multimedia application development jointly detonated in a wireless network; therefore, the "data" flood of future mobile communication systems in addition to meet the basic requirements of reliable information transmission, but also can provide a faster transfer rate, with transmission delay a shorter, broader coverage of the geographical scope, to accommodate more access equipment. Using the resources from the network architecture, distributed signal processing and other areas to improve the spectral efficiency for the imminent research work purpose.
The development trend of the wireless network interference has become a key factor that limits the performance of base station cooperation, is considered to be one of the effective ways to solve this problem, research shows that this technology can effectively improve the communication quality of the cell edge users, improve spectrum efficiency, improve the quality of network coverage. Therefore, to carry out the theoretical value of interference processing technology based on base station cooperation with high and broad application prospect.
This article from the perspective of resource allocation and network architecture, the processing techniques of multi antenna base station interference limited cooperation network in the downlink, using beam forming, power control and base station cluster to active adaptive interference coordination, enhance the communication link quality, improve the network robustness and fairness. The main contents of this paper and the results include the following four aspects:
First, the research on SLNR effective management criterion of maximizing beamforming vector algorithm in leakage power based on the problems, put forward a improved weighted fairness leakage power beamforming algorithm, and designed the corresponding power control strategy. The typical SLNR maximum design method of beam vector, there the problem of non leakage power distribution fairness, the problem is the leakage power applied relatively greater damage to the poor channel quality of users. First of all, the proposed scheme will carry the weight coefficient of the user channel quality information into SLNR optimization targets, achieve the leakage power among multiple users "dynamic balance" distribution to solve the problems, the fairness of the typical algorithm. Secondly, vector beam design considering the channel information of non ideal characteristics parameters, improve the robust performance of the network. Finally, The power control algorithm uses the information of the weighted signal to complete the dynamic power allocation and improves the reliability of the system.
Second, the cooperative base station backhaul link and signaling overhead under limited conditions, studied the distributed beam forming design of local channel information and power control based on the problems. First, establish the mathematical model of base station power constraints and network capacity maximization; secondly, using the discrete method of power optimization space is simplified, reduce computational complexity again, the use of degree; local channel information design corresponding beamforming vector and algorithm based on greedy criterion design of power distribution; finally, analysis of the complexity of the algorithm and the deployment method. The simulation results show that this scheme can ensure user fairness conditions, with low computational complexity has higher spectrum efficiency, for to solve the beamforming provides a feasible scheme to deal with the problems with interference based on power control.
Third, the base station base station Limited cooperative network clustering problems, this paper proposed a dynamic base station connection graph and heuristic utility function based clustering scheme. First, the establishment of base station cluster and base station power constraints and capacity maximization problem based on; then, using the connection graph generated base station cooperative relation mapping, simplified base station cluster search space; secondly, put forward a statistical interference utility function based on channel gain and to measure the weight of edges connecting the corresponding; finally, according to the search path connection diagram provided by heuristic effect, fast dynamic function to establish a base station cluster. The simulation results show that the proposed scheme makes full use of macros the base station cooperative diversity gain, with low computational complexity is close to the performance of the optimal solutions, and have robustness against channel errors.
Fourth, study on dynamic base station clustering and beamforming combined interference processing based on the problems, puts forward the interference leakage power and unified design base station clustering algorithm and beamforming based on collaborative framework. First, establish the leakage channel information to base station for the overall concept, cluster analysis of mathematical expressions and the significance of the leakage power; then, based on the leakage power and the maximum criterion in a dynamic way to form the base station cluster, the interference in the network become more interference in the cluster; secondly, using SLNR maximization algorithm in cluster cooperative beamforming to suppress leakage based on interference. The simulation results show that the proposed scheme improves the average user capacity and the edge user capacity, the computational complexity and performance gain compromise, with the outage performance close to the optimal solution.

【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN919.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 許曉東;張平;;面向LTE-Advanced的CoMP試驗(yàn)系統(tǒng)及外場試驗(yàn)網(wǎng)[J];信息通信技術(shù);2013年02期

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本文編號(hào)：1452757