本文關(guān)鍵詞： 異構(gòu)蜂窩 用戶卸載 干擾協(xié)調(diào) 資源分配 卸載成本 卸載收益　出處：《中國科學(xué)技術(shù)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：傳統(tǒng)蜂窩網(wǎng)絡(luò)有限的傳輸能力無法滿足迅猛增長的移動數(shù)據(jù)業(yè)務(wù)需求,蜂窩網(wǎng)絡(luò)運(yùn)營商面對數(shù)據(jù)流量的爆炸式增長承受了巨大的壓力。異構(gòu)網(wǎng)絡(luò)作為一種經(jīng)濟(jì)高效提升網(wǎng)絡(luò)容量的方式得到了廣泛的部署。然而,由于宏基站與微基站之間巨大的功率差異,基于傳統(tǒng)同構(gòu)蜂窩網(wǎng)絡(luò)的小區(qū)選擇策略會使得異構(gòu)網(wǎng)絡(luò)中的負(fù)載分布不均,導(dǎo)致宏小區(qū)擁塞的同時微小區(qū)的資源未得到充分利用,這大大限制了異構(gòu)網(wǎng)絡(luò)的性能提升。將部分用戶從比較擁塞的宏小區(qū)卸載到資源富余的微小區(qū),是低成本地提升異構(gòu)網(wǎng)絡(luò)性能的一個有效手段。用戶卸載策略需要根據(jù)網(wǎng)絡(luò)中的用戶分布、負(fù)載情況、基站運(yùn)營模式等實(shí)際的狀態(tài)做出合適的用戶卸載決策,同時需要考慮影響網(wǎng)絡(luò)性能的多方因素如干擾協(xié)調(diào)、資源分配、商業(yè)成本與收益等。因此,本文關(guān)注的重點(diǎn)是聯(lián)合考慮影響網(wǎng)絡(luò)性能的多方因素研究在不同場景需求下的用戶卸載策略。針對宏微基站屬于相同運(yùn)營商場景下的負(fù)載不均衡問題,研究了用戶卸載與干擾協(xié)調(diào)策略。首先,綜合考慮用戶歸屬關(guān)系、幾乎空白子幀比例因子和資源分配比例等參數(shù)構(gòu)建了一個聯(lián)合效用優(yōu)化問題;然后,采用Gauss-Seidel的塊參數(shù)分解方法將聯(lián)合問題分解為三個子問題,每次優(yōu)化單一參數(shù)塊而將其他參數(shù)塊固定,逐步迭代求解最優(yōu)參數(shù):最后,基于中間推導(dǎo)結(jié)果提出了具有較低復(fù)雜度的啟發(fā)式算法來解決用戶歸屬問題。仿真結(jié)果表明所提出的方案與小區(qū)覆蓋擴(kuò)展方案相比,能大大提升用戶的邊緣吞吐量和公平性。針對宏微基站屬于不同運(yùn)營商場景下的負(fù)載不均衡問題,研究了用戶卸載與成本協(xié)調(diào)策略,重點(diǎn)關(guān)注蜂窩服務(wù)提供商希望租借成本較小和卸載流量較大的兩個矛盾的需求。首先,構(gòu)建了以卸載成本和卸載收益之差最小為目標(biāo)的反向拍賣問題來在二者之間做一個權(quán)衡;然后,提出了滿足市場激勵相容性和個體合理性的基于反向拍賣的最優(yōu)卸載機(jī)制和考慮了資源利用效率的具有較低復(fù)雜度的貪婪卸載機(jī)制。仿真結(jié)果表明,最優(yōu)卸載機(jī)制能很好的權(quán)衡成本與卸載量兩方面的需求,而貪婪卸載機(jī)制能在降低復(fù)雜度的同時保證成本與卸載量的折衷。
[Abstract]:The limited transmission capacity of traditional cellular network can not meet the rapidly increasing demand for mobile data services. Facing the explosive growth of data traffic, cellular network operators are under tremendous pressure. Heterogeneous networks are widely deployed as an economical and efficient way to increase network capacity. However, Because of the huge power difference between the macro base station and the microbase station, the cell selection strategy based on the traditional isomorphic cellular network will make the load distribution uneven in the heterogeneous network, resulting in the congestion of the macro cell and the underutilization of the resources of the micro cell. This greatly limits the performance of heterogeneous networks. Some users are unloaded from congested macro cells to resource-rich microcells. It is an effective method to improve the performance of heterogeneous network at low cost. The user unload strategy needs to make appropriate user uninstall decision according to the actual conditions such as user distribution, load, operation mode of base station and so on. At the same time, we need to consider various factors that affect network performance, such as interference coordination, resource allocation, business costs and benefits, etc. The focus of this paper is to study the user unload strategy under different scenarios by considering the multiple factors that affect the network performance, aiming at the load imbalance problem of the macro and micro base station under the same operator scenario. In this paper, the coordination strategy of user unload and interference is studied. Firstly, a joint utility optimization problem is constructed by considering the user ownership relationship, almost blank subframe scale factor and resource allocation ratio. Gauss-Seidel 's block parameter decomposition method is used to decompose the joint problem into three sub-problems. Each time the single parameter block is optimized and the other parameter blocks are fixed, the optimal parameters are solved iteratively step by step: finally, A heuristic algorithm with low complexity is proposed to solve the user assignment problem based on the intermediate derivation results. The simulation results show that the proposed scheme is compared with the cell coverage expansion scheme. It can greatly improve the edge throughput and fairness of users. Aiming at the load imbalance problem of macro and micro base stations belonging to different operator scenarios, the strategy of user unload and cost coordination is studied. The paper focuses on the two contradictory requirements of cellular service providers: the low rental cost and the larger unload flow. Firstly, the reverse auction problem, which aims at minimizing the difference between the unload cost and the unload income, is constructed to make a trade-off between the two. Then, the optimal unloading mechanism based on reverse auction and the greedy unloading mechanism with low complexity considering the efficiency of resource utilization are proposed to satisfy the market incentive compatibility and individual rationality. The simulation results show that, The optimal unload mechanism can balance the requirements of cost and unload, while the greedy unload mechanism can reduce the complexity and guarantee the tradeoff between the cost and the amount of unload.
【學(xué)位授予單位】：中國科學(xué)技術(shù)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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