【摘要】：近年,人們對(duì)移動(dòng)通信網(wǎng)絡(luò)的需求不斷增大,推動(dòng)著5G(5rd Generation,第五代移動(dòng)通信)技術(shù)的迅速發(fā)展。5G網(wǎng)絡(luò)必然是由大量的宏小區(qū)、微小區(qū)以及用戶(hù)設(shè)備等不同層次的網(wǎng)絡(luò)元素共同構(gòu)成的異構(gòu)網(wǎng)絡(luò)。在這樣密集分層的異構(gòu)網(wǎng)絡(luò)結(jié)構(gòu)中,網(wǎng)絡(luò)的無(wú)線資源調(diào)配機(jī)制需要在多個(gè)層次同時(shí)進(jìn)行。系統(tǒng)不僅要在每個(gè)小區(qū)內(nèi)部進(jìn)行資源的調(diào)配,同時(shí)需要滿(mǎn)足系統(tǒng)總?cè)萘俊⒖偰芰�、業(yè)務(wù)負(fù)載等多方面約束,還要在層內(nèi)層間進(jìn)行無(wú)線資源的聯(lián)合調(diào)配,降低相互間干擾,提升系統(tǒng)整體性能。資源稀缺是5G移動(dòng)通信網(wǎng)絡(luò)面臨的巨大挑戰(zhàn),資源管理成為重點(diǎn)研究方向。超密集異構(gòu)網(wǎng)絡(luò)場(chǎng)景下的功率分配研究對(duì)5G移動(dòng)通信網(wǎng)絡(luò)在能量節(jié)省以及容量提升方面的發(fā)展具有重要意義。本文在超密集異構(gòu)網(wǎng)絡(luò)場(chǎng)景下,區(qū)分用戶(hù)業(yè)務(wù)類(lèi)型為條件,首先選擇接入不同網(wǎng)絡(luò)的基站,再對(duì)子信道做合理分配,最終利用對(duì)各子信道做功率的分配達(dá)到各自?xún)?yōu)化的目標(biāo)。主要提出了以下兩種功率分配方案以實(shí)現(xiàn)不同優(yōu)化目標(biāo):(1)5G網(wǎng)絡(luò)提倡綠色網(wǎng)絡(luò),因此本文以節(jié)省能量為優(yōu)化目標(biāo),提出了一種基于能量?jī)?yōu)化的功率分配方案。首先設(shè)定網(wǎng)絡(luò)場(chǎng)景,定義相關(guān)參數(shù),為了提高網(wǎng)絡(luò)有效利用率,將用戶(hù)需求業(yè)務(wù)分類(lèi),選擇不同的網(wǎng)絡(luò)類(lèi)型來(lái)滿(mǎn)足用戶(hù)需求。其次,遵循一個(gè)用戶(hù)接入一個(gè)基站的原則,給用戶(hù)選擇能提供最高速率的基站。采用設(shè)計(jì)的算法給所有接入該基站的用戶(hù)分配子信道,最終分配子信道上的功率,使用戶(hù)獲得的速率滿(mǎn)足用戶(hù)最小需求,并且使總能量消耗最少。此方案采用的是分步驟功率分配,在確定用戶(hù)—基站—子信道連接指標(biāo)后,對(duì)功率分配進(jìn)行優(yōu)化。(2)提升系統(tǒng)容量一直是改進(jìn)網(wǎng)絡(luò)性能的主要目標(biāo)之一,因此本文提出一種基于系統(tǒng)容量?jī)?yōu)化的功率分配方案�；诘谝环N方案的場(chǎng)景下,對(duì)相關(guān)參數(shù)做一些改進(jìn)。同樣是以用戶(hù)需求業(yè)務(wù)分類(lèi),改變用戶(hù)接入基站的條件約束,允許部分用戶(hù)同時(shí)接入兩個(gè)不同網(wǎng)絡(luò)的基站以提高總的用戶(hù)速率,也就是提高系統(tǒng)容量。采用設(shè)計(jì)的算法給用戶(hù)分配子信道以及相應(yīng)的功率,使系統(tǒng)容量達(dá)到最大。此方案依舊采用的是分步驟功率分配。本文基于用戶(hù)業(yè)務(wù)分類(lèi)的特點(diǎn)提出的兩種功率分配方案,所涉及的算法收斂快速、復(fù)雜度低,通過(guò)仿真分別得到總能量消耗降低和系統(tǒng)容量增加的結(jié)論。本文所涉及到的5G超密集異構(gòu)網(wǎng)絡(luò)場(chǎng)景下的功率分配方案對(duì)未來(lái)實(shí)際部署實(shí)施有一定的積極影響。
[Abstract]:In recent years, people's demand for mobile communication network is increasing, which promotes the rapid development of 5G (5rd Generation, fifth generation mobile communication) technology. The heterogeneous network composed of different network elements such as microcell and user equipment. In such a dense hierarchical heterogeneous network structure, the wireless resource allocation mechanism of the network needs to be carried out simultaneously at multiple levels. The system not only needs to allocate resources within each cell, but also needs to meet the constraints of total system capacity, total energy, service load and so on. It also needs to carry out the joint allocation of wireless resources between layers to reduce the interference between each other. Improve the overall performance of the system. Resource scarcity is a great challenge for 5G mobile communication network. Resource management becomes the key research direction. The research on power allocation in ultra-dense heterogeneous networks is of great significance to the development of 5G mobile communication networks in terms of energy saving and capacity enhancement. In this paper, in the ultra-dense heterogeneous network scenario, we select the base stations to access different networks, and then allocate the sub-channels reasonably. Finally, we use the power allocation of each sub-channel to achieve the goal of optimization. Two kinds of power allocation schemes are mainly proposed to achieve different optimization objectives: (1) 5G network advocates green network, so this paper proposes a power allocation scheme based on energy optimization with energy saving as the optimization goal. In order to improve the effective utilization of the network, the user needs are classified and different network types are selected to meet the needs of the users. Secondly, according to the principle that a user can access a base station, the user can choose a base station that can provide the highest rate. The designed algorithm is used to assign subchannels to all users who access the base station, and finally to allocate the power on the subchannels, so that the rate obtained by the users meets the minimum requirements of the users and the total energy consumption is minimized. This scheme adopts step by step power allocation. After determining the user-base-subchannel connection index, the power allocation is optimized. (2) improving the system capacity is one of the main goals to improve the network performance. Therefore, a power allocation scheme based on system capacity optimization is proposed. In the scenario based on the first scheme, some improvements are made to the related parameters. In the same way, according to the classification of user demand services, the conditional constraints of user access to the base station are changed, allowing some users to access the base stations of two different networks at the same time in order to increase the total user rate, that is, to increase the system capacity. The designed algorithm is used to assign subchannels and corresponding power to users, so that the system capacity is maximized. This scheme still uses step-by-step power allocation. Based on the characteristics of user service classification, two power allocation schemes are proposed in this paper. The proposed algorithms have fast convergence and low complexity. The results of simulation show that the total energy consumption is reduced and the system capacity is increased. The power allocation scheme in the 5G super-dense heterogeneous network scenario mentioned in this paper has a positive effect on the actual deployment in the future.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN929.5

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相關(guān)期刊論文 前1條

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本文編號(hào)：2265175