發(fā)布時(shí)間：2018-04-17 18:52

  本文選題：雙層網(wǎng)絡(luò) + Femtocell��； 參考：《哈爾濱工業(yè)大學(xué)》2016年博士論文

【摘要】：室內(nèi)場(chǎng)景中部署Femtocell(毫微微蜂窩)可以起到宏蜂窩流量卸載、加強(qiáng)室內(nèi)信號(hào)覆蓋的作用。Femtocell具有安裝方便、自動(dòng)配置、自動(dòng)網(wǎng)絡(luò)規(guī)劃和即插即用的特點(diǎn)。Femtocell設(shè)計(jì)應(yīng)用于增加室內(nèi)網(wǎng)絡(luò)容量,通過有線回程接入網(wǎng)絡(luò)。然而,在網(wǎng)絡(luò)中部署Femtocell會(huì)面臨以下幾個(gè)挑戰(zhàn)：(1)網(wǎng)絡(luò)中多個(gè)Femtocell共存會(huì)對(duì)相鄰小區(qū)用戶產(chǎn)生同層干擾；(2)在Femtocell覆蓋區(qū)域內(nèi),下行鏈路會(huì)對(duì)未授權(quán)的宏蜂窩用戶產(chǎn)生跨層干擾；(3)干擾情況復(fù)雜,不同的應(yīng)用場(chǎng)景中,無法利用統(tǒng)一策略進(jìn)行干擾管理。因此,在歸納總結(jié)了國(guó)內(nèi)外最新研究成果的基礎(chǔ)上,本文研究了以下方面問題。(1)針對(duì)Macro-Femtocell雙層網(wǎng)絡(luò)中比較復(fù)雜的干擾情況,提出了一種劃分干擾區(qū)域的方法。該方法可以簡(jiǎn)化干擾管理策略,對(duì)場(chǎng)景中部署Femtocell且有指導(dǎo)意義。仿真結(jié)果驗(yàn)證了網(wǎng)絡(luò)中存在同層干擾主導(dǎo)區(qū)、跨層干擾主導(dǎo)區(qū)和同層-跨層均衡區(qū)；(2)針對(duì)網(wǎng)關(guān)統(tǒng)一管理資源的應(yīng)用場(chǎng)景,研究集中式資源分配策略。本文改進(jìn)了以資源塊效率最大為目標(biāo)的集中式動(dòng)態(tài)資源分配算法,傳統(tǒng)算法只討論P(yáng)RB(Physical Resource Block,物理資源塊)分配,隨著Femtocell數(shù)量增加將降低PRB效率,增加用戶接入失敗率。新算法分析用戶的干擾類型,從用戶的角度確定相鄰小區(qū)的干擾關(guān)系,從而達(dá)到增加PRB效率的目的。為了獲得降低網(wǎng)絡(luò)能量消耗的效果,在動(dòng)態(tài)資源分配算法的基礎(chǔ)上提出能效資源分配算法。在傳統(tǒng)的未應(yīng)用節(jié)能技術(shù)的Femtocell網(wǎng)絡(luò)中,家庭用戶以RSS(Received Signal Strength,接收信號(hào)強(qiáng)度)為接入準(zhǔn)則,需要開啟網(wǎng)絡(luò)內(nèi)所有的Femtocell。新算法可以在關(guān)閉部分家庭基站后實(shí)現(xiàn)網(wǎng)絡(luò)覆蓋。本文對(duì)新算法進(jìn)行了理論分析和仿真驗(yàn)證,與現(xiàn)有算法相比,提高了平均數(shù)據(jù)率、PRB效率、和能量效率,并降低了用戶連接失敗率；(3)針對(duì)網(wǎng)關(guān)無法統(tǒng)一管理資源、網(wǎng)絡(luò)類型不同的兩種應(yīng)用場(chǎng)景,研究了一種半分布式資源分配策略。通過計(jì)算Femtocell數(shù)據(jù)率標(biāo)準(zhǔn)差,將網(wǎng)絡(luò)分為有偏型和無偏型。這種半分布式策略由并行的兩個(gè)分支組成,分別應(yīng)用于有偏和無偏網(wǎng)絡(luò)。制約無偏網(wǎng)絡(luò)的分簇因子與有偏網(wǎng)絡(luò)不同,傳統(tǒng)的相關(guān)聚類算法僅適用于無偏網(wǎng)絡(luò),所以為了有效分配系統(tǒng)資源,本文在有偏網(wǎng)絡(luò)中提出新的聚類算法。半分布式策略在簇內(nèi)由簇頭統(tǒng)一分配子信道和功率,而在簇間平行地進(jìn)行分配。本文參考最優(yōu)資源分配結(jié)果,提出應(yīng)用于兩種網(wǎng)絡(luò)的子信道和功率分配新算法,對(duì)算法進(jìn)行了理論分析和仿真驗(yàn)證,證明了這種新算法可以提高無偏網(wǎng)絡(luò)分配公平性以及兩種網(wǎng)絡(luò)的子信道分配成功率；(4)針對(duì)Femtocell獨(dú)立接入、基站間無法通過中心網(wǎng)關(guān)或簇頭進(jìn)行資源分配的應(yīng)用場(chǎng)景,研究分布式資源分配策略。本文以Femtocell傳輸功率最小化為目標(biāo),提出了一種新的Q學(xué)習(xí)(增強(qiáng)學(xué)習(xí))干擾管理算法,包括合作式和獨(dú)立式算法。合作式算法中,邊緣用戶可以與相鄰小區(qū)用戶進(jìn)行子信道分配信息交互,通過模糊邏輯理論將用戶分類,為數(shù)據(jù)率較高的邊緣用戶分配與鄰小區(qū)邊緣用戶正交的子信道資源,在滿足用戶數(shù)據(jù)率要求同時(shí)可以實(shí)現(xiàn)干擾的分散化。獨(dú)立式算法根據(jù)在Femtocell內(nèi)部設(shè)定的功率最小化分配準(zhǔn)則直接分配資源。一方面,新算法可以盡可能滿足高數(shù)據(jù)率邊緣用戶的要求；另一方面,降低本小區(qū)對(duì)其他小區(qū)用戶的同層干擾。本文對(duì)合作式和獨(dú)立式算法進(jìn)行理論分析和仿真驗(yàn)證,結(jié)果顯示新算法能夠提高網(wǎng)絡(luò)平均數(shù)據(jù)率和能量效率。
[Abstract]:The deployment of Femtocell indoor scene (femtocell and macrocell) can play a role to strengthen the flow of unloading,.Femtocell indoor signal coverage has the advantages of convenient installation, automatic configuration, automatic network planning and PNP.Femtocell design is applied to increase the indoor network capacity, through a wired backhaul access network. However, deployed in the network Femtocell will face the following challenges: (1) network in multiple Femtocell coexistence will produce the same layer interference to adjacent cell users; (2) in the Femtocell coverage area, will produce downlink cross layer interference to macrocell users without authorization; (3) the interference situation is complex, different application scenarios, can not use a unified strategy for interference management. Therefore, based on summing up the latest research results at home and abroad, this paper studies the following aspects. (1) according to the ratio of Macro-Femtocell double layer network The interference condition is complex, puts forward a method of dividing the interference. The method can simplify the interference management strategy, has guiding significance to the scene in the deployment of Femtocell. And the simulation results verify the same layer interference dominant region exists in the network, cross layer interference leading area and same layer - cross layer equilibrium zone; (2) gateway application scenarios for unified management of resources, the study of centralized resource allocation strategy. This paper improves the centralized dynamic resource allocation algorithm in resource block maximizes the efficiency of the algorithm, the traditional PRB (Physical Resource Block only, the physical resource block allocation), with the increase of Femtocell number will reduce the PRB efficiency, increase user access failure rate. Algorithm analysis of interference types of users, to determine the relationship between adjacent cell interference from the user's point of view, so as to increase the PRB efficiency. In order to obtain the effect of reducing network energy consumption, The efficiency of resource allocation algorithm based on dynamic resource allocation algorithms. In the traditional non application of energy saving technology in Femtocell network, home users to RSS (Received Signal Strength, received signal strength) to access standards, need to open the network in all of the new Femtocell. algorithm can realize the network coverage in the closing part of the home base station in this paper. Theoretical analysis and simulation are carried out to verify the new algorithm, compared with the existing algorithms, improve the average data rate, PRB efficiency and energy efficiency, and reduce the user connection failure rate; (3) the gateway can not be unified management of resources, two scenarios of different types of networks, a semi distributed resource research distribution strategy. By calculating the standard deviation of Femtocell data rate, the network is divided into the type of biased and unbiased. This semi distributed strategy consists of two parallel branches which are applied to a Partial and unbiased network. Restricting the unbiased clustering factor and bias network, related to the traditional clustering algorithm is only suitable for the unbiased network, so in order to effectively allocate system resources, this paper has put forward a new clustering algorithm in partial network. A semi distributed strategy within the cluster by cluster head unified sub channel and the power, and in parallel in the inter cluster distribution in this paper. The optimal resource allocation result, put forward a new subchannel and power allocation algorithm is applied to two kinds of networks, the algorithm for theoretical analysis and simulation proved that this new algorithm can be improved without partial sub channel allocation network allocation fairness and two the success rate of the network; (4) for Femtocell independent access scenarios between base stations cannot through the center of the cluster head gateway or the allocation of resources, the research of distributed resource allocation. Based on the Femtocell minimum transmission power As the goal, this paper proposes a new Q learning (reinforcement learning) interference management algorithms, including cooperative and independent cooperative algorithm. In the algorithm, the edge user can allocate information interaction sub channel and adjacent cell users, through the fuzzy logic theory to classify users as the edge user data rate and distribution adjacent cell edge user orthogonal sub channel resources, to meet the diversified user data rate requirements at the same time can achieve interference. Independent algorithm according to the minimum power allocation criteria set in Femtocell internal direct allocation of resources. On the one hand, the new algorithm can as far as possible to meet the requirements of high data rate of edge users; on the other hand, reduce the area the same layer of interference to other users. This paper carries on the theoretical analysis and the simulation of cooperative and independent algorithm, the results show that the new algorithm can improve the network average Rate and energy efficiency.

【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN929.5

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本文編號(hào)：1764838