异构无线网络中基站节能方法研究
发布时间：2018-08-07 18:32
【摘要】：随着信息与通信技术的高速发展,现有的通信系统已经演变为高能耗产业,因此,如何将节能减排、减少资源浪费的绿色通信理念融入到无线通信网络的优化设计中,是建立未来高能效可持续发展无线通信网络的关键。由于当前异构无线网络的基站通常互相重叠覆盖,其通信业务在时域和空域上存在大范围动态变化的需求,而且大量密集部署的基站在低负载情况下能耗浪费情况严重。针对这些存在的问题,本文在结合3GPP中节能系统的概念的基础上,深入挖掘异构无线网络基站协作优化的能效潜力,建立了兼顾能效与容量的基站节能优化模型,并给出了在确保业务质量及网络覆盖服务的前提下的基站节能优化方法。具体包括如下：(1)针对同构网络场景,提出了一种基于导频功率控制的基站节能优化算法,算法设计了导频功率调整的计算方法,并通过调整导频控制功率参数来优化休眠覆盖区域业务的转移,使业务负载转移集中到指定的相邻活跃基站中,以便于更多的低负载基站进入准休眠状态,从而大幅度降低网络的能耗。(2)针对异构网络场景,则提出了一种基于异构网络分层服务的基站节能算法,算法结合了控制与覆盖相分离的概念,建立了基于异构网络分层服务的网络模型,研究网络业务负载的有效转移策略,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。本文以区域业务量变化为基础,针对这两种不同的网络场景提出了两种完备的节能优化算法。并对其涉及的节能触发和恢复条件、节能覆盖补偿方式、节能优化数学模型和节能性能评估等关键技术进行了详细的分析和研究。最后通过仿真验证了这两种节能算法在不同网络场景下的可行性和有效性,具有一定的现实意义。
[Abstract]:With the rapid development of information and communication technology, the existing communication system has evolved into a high-energy industry. Therefore, how to integrate the green communication concept of energy saving and emission reduction and reducing waste of resources into the optimal design of wireless communication network. It is the key to establish the wireless communication network with high energy efficiency and sustainable development in the future. Because the base stations of heterogeneous wireless networks usually overlap with each other, there is a large range of dynamic changes of communication services in time domain and spatial domain, and a large number of densely deployed base stations are seriously wasteful of energy consumption under low load. In view of these problems, based on the concept of energy-saving system in 3GPP, this paper deeply excavates the energy efficiency potential of base station cooperation optimization in heterogeneous wireless network, and establishes a base station energy-saving optimization model which takes energy efficiency and capacity into account. At the same time, the optimization method of base station energy saving under the premise of ensuring service quality and network coverage service is given. The details are as follows: (1) aiming at the isomorphic network scene, a base station energy-saving optimization algorithm based on pilot power control is proposed, and the calculation method of pilot power adjustment is designed. By adjusting the pilot control power parameters to optimize the service transfer in the dormant coverage area, the service load transfer is centralized into the designated adjacent active base stations, so as to facilitate more low-load base stations to enter the quasi-dormancy state. In order to greatly reduce the energy consumption of the network. (2) for the heterogeneous network scenario, a base station energy-saving algorithm based on heterogeneous network layered services is proposed, which combines the concept of separation of control and coverage. A network model based on hierarchical services in heterogeneous networks is established, and the effective transfer strategy of network traffic load is studied to achieve maximum energy saving under the premise of ensuring service quality and coverage services. Based on the change of regional traffic, this paper proposes two complete energy-saving optimization algorithms for these two different network scenarios. The trigger and recovery conditions of energy saving, the compensation method of energy saving coverage, the mathematical model of energy saving optimization and the evaluation of energy saving performance are analyzed and studied in detail. Finally, the feasibility and effectiveness of the two energy-saving algorithms in different network scenarios are verified by simulation, which has certain practical significance.
【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】：2016
【分类号】：TN929.5
[Abstract]:With the rapid development of information and communication technology, the existing communication system has evolved into a high-energy industry. Therefore, how to integrate the green communication concept of energy saving and emission reduction and reducing waste of resources into the optimal design of wireless communication network. It is the key to establish the wireless communication network with high energy efficiency and sustainable development in the future. Because the base stations of heterogeneous wireless networks usually overlap with each other, there is a large range of dynamic changes of communication services in time domain and spatial domain, and a large number of densely deployed base stations are seriously wasteful of energy consumption under low load. In view of these problems, based on the concept of energy-saving system in 3GPP, this paper deeply excavates the energy efficiency potential of base station cooperation optimization in heterogeneous wireless network, and establishes a base station energy-saving optimization model which takes energy efficiency and capacity into account. At the same time, the optimization method of base station energy saving under the premise of ensuring service quality and network coverage service is given. The details are as follows: (1) aiming at the isomorphic network scene, a base station energy-saving optimization algorithm based on pilot power control is proposed, and the calculation method of pilot power adjustment is designed. By adjusting the pilot control power parameters to optimize the service transfer in the dormant coverage area, the service load transfer is centralized into the designated adjacent active base stations, so as to facilitate more low-load base stations to enter the quasi-dormancy state. In order to greatly reduce the energy consumption of the network. (2) for the heterogeneous network scenario, a base station energy-saving algorithm based on heterogeneous network layered services is proposed, which combines the concept of separation of control and coverage. A network model based on hierarchical services in heterogeneous networks is established, and the effective transfer strategy of network traffic load is studied to achieve maximum energy saving under the premise of ensuring service quality and coverage services. Based on the change of regional traffic, this paper proposes two complete energy-saving optimization algorithms for these two different network scenarios. The trigger and recovery conditions of energy saving, the compensation method of energy saving coverage, the mathematical model of energy saving optimization and the evaluation of energy saving performance are analyzed and studied in detail. Finally, the feasibility and effectiveness of the two energy-saving algorithms in different network scenarios are verified by simulation, which has certain practical significance.
【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】：2016
【分类号】：TN929.5
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