面向智能配用电的绿色基站规划及优化方法研究

发布时间：2018-10-16 21:31

【摘要】：随着配电自动化、用电智能化的发展和变革,配用电通信网中的业务信息正在多元化、数字化、网络化和大信息量化地发展。蜂窝无线网络凭借着其建设所需成本相对较低、施工难度相对较小、网络后续升级相对灵活等特点,逐渐成为智能配用电通信网中重要的通信技术之一,而在无线通信网大规模部署和优化的过程中,高能耗问题也逐渐成为无线网络需要考虑的核心问题之一。本文分析配用电通信网架构和业务需求,在建立绿色基站的能耗模型的基础上,将其融入到配用电无线通信网的规划和优化过程中。为了合理部署配用电无线通信网,本文提出了一种适用于配用电通信网的分层异构无线网络规划方法,该规划方法将网络基站规划中的规划因素分为两种:正相关因素和负相关因素。选择不同类型的规划因素作为基站站址优化的目标,并将不同层的基站统一规划考虑,利用多目标遗传算法求解最优结果,从而得出规划结果。该方法考虑到配用电业务在异构网络中的应用问题,利用无线网络的重叠覆盖,保证配用电业务能够自由切换到不同层的接入网,从而提高了业务的可靠性,同时有效减少了能耗。为了合理优化配用电通信网的覆盖范围,本文提出了一种针对绿色基站的覆盖优化调整算法。该算法将休眠基站的覆盖区域划分为多个小区域块,利用基站间的协作覆盖策略合理分配覆盖补偿的区域。该算法能够根据区域内的负载状况,在确保业务质量和覆盖服务的前提下实现最大限度的能量节省,自适应地进行能耗最小化的覆盖优化。本文重点在于将能耗作为配用电无线通信网的规划和优化过程中的一个重要因素,建立优化模型,求解模型最优解,并将结果的性能和其他算法进行对比,从而验证本文规划方法的有效性。
[Abstract]:With the development and reform of distribution automation and intelligent power consumption, the service information in the distribution communication network is developing in a diversified, digital, networked and quantitative way. Cellular wireless network has become one of the important communication technologies in intelligent distribution communication network because of its relatively low construction cost, relatively small construction difficulty, relatively flexible network follow-up upgrade and so on. In the process of large-scale deployment and optimization of wireless communication networks, the problem of high energy consumption has gradually become one of the core issues to be considered in wireless networks. In this paper, the architecture and service requirements of distribution communication network are analyzed. On the basis of establishing the energy consumption model of green base station, it is integrated into the planning and optimization process of distribution power wireless communication network. In order to reasonably deploy the distribution wireless communication network, a hierarchical heterogeneous wireless network planning method is proposed in this paper, which is suitable for the distribution communication network. The planning method divides the planning factors into two kinds: positive correlation factor and negative correlation factor. Different types of planning factors are selected as the target of base station address optimization, and the unified planning of base stations in different layers is considered, and the multi-objective genetic algorithm is used to solve the optimal results, and the planning results are obtained. This method takes into account the application of distribution service in heterogeneous networks, and makes use of the overlapping coverage of wireless networks to ensure that distribution services can freely switch to different layers of access networks, thus improving the reliability of services. At the same time, the energy consumption is reduced effectively. In order to optimize the coverage of distribution communication network, this paper presents an optimal coverage adjustment algorithm for green base stations. In this algorithm, the coverage area of dormant base station is divided into several small area blocks, and the coverage compensation area is allocated reasonably by the cooperative coverage strategy among the base stations. According to the load condition in the region, the algorithm can achieve the maximum energy saving while ensuring the service quality and coverage service, and adaptively optimize the coverage with minimum energy consumption. In this paper, the energy consumption is regarded as an important factor in the planning and optimization of wireless communication network, and the optimization model is established, the optimal solution of the model is solved, and the performance of the result is compared with other algorithms. The effectiveness of the proposed programming method is verified.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5;TM73

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