5G超密集异构网络功率分配技术研究
发布时间：2018-10-12 06:47
【摘要】：近年,人们对移动通信网络的需求不断增大,推动着5G(5rd Generation,第五代移动通信)技术的迅速发展。5G网络必然是由大量的宏小区、微小区以及用户设备等不同层次的网络元素共同构成的异构网络。在这样密集分层的异构网络结构中,网络的无线资源调配机制需要在多个层次同时进行。系统不仅要在每个小区内部进行资源的调配,同时需要满足系统总容量、总能量、业务负载等多方面约束,还要在层内层间进行无线资源的联合调配,降低相互间干扰,提升系统整体性能。资源稀缺是5G移动通信网络面临的巨大挑战,资源管理成为重点研究方向。超密集异构网络场景下的功率分配研究对5G移动通信网络在能量节省以及容量提升方面的发展具有重要意义。本文在超密集异构网络场景下,区分用户业务类型为条件,首先选择接入不同网络的基站,再对子信道做合理分配,最终利用对各子信道做功率的分配达到各自优化的目标。主要提出了以下两种功率分配方案以实现不同优化目标:(1)5G网络提倡绿色网络,因此本文以节省能量为优化目标,提出了一种基于能量优化的功率分配方案。首先设定网络场景,定义相关参数,为了提高网络有效利用率,将用户需求业务分类,选择不同的网络类型来满足用户需求。其次,遵循一个用户接入一个基站的原则,给用户选择能提供最高速率的基站。采用设计的算法给所有接入该基站的用户分配子信道,最终分配子信道上的功率,使用户获得的速率满足用户最小需求,并且使总能量消耗最少。此方案采用的是分步骤功率分配,在确定用户—基站—子信道连接指标后,对功率分配进行优化。(2)提升系统容量一直是改进网络性能的主要目标之一,因此本文提出一种基于系统容量优化的功率分配方案。基于第一种方案的场景下,对相关参数做一些改进。同样是以用户需求业务分类,改变用户接入基站的条件约束,允许部分用户同时接入两个不同网络的基站以提高总的用户速率,也就是提高系统容量。采用设计的算法给用户分配子信道以及相应的功率,使系统容量达到最大。此方案依旧采用的是分步骤功率分配。本文基于用户业务分类的特点提出的两种功率分配方案,所涉及的算法收敛快速、复杂度低,通过仿真分别得到总能量消耗降低和系统容量增加的结论。本文所涉及到的5G超密集异构网络场景下的功率分配方案对未来实际部署实施有一定的积极影响。
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
本文编号：2265175
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
【参考文献】
相关期刊论文 前1条
1 章坚武;李方;许方敏;;一种提高小区边缘用户性能的多用户子载波功率分配策略[J];电信科学;2015年05期
，本文编号：2265175
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