Research On Energy Saving Method Of Base Station In Heterogeneous Wireless Networks

With the rapid development of information communication technology (ICT), the existing communication network has consumed too much energy. Therefore, reducing the energy consumption and wasting fewer resources are key concerns in the design and development of future green communication networks.Heterogeneous wireless network base station usually have mutual overlapping coverage, due to the presence of the wireless network traffic uneven distribution in time and space, a large number of densely deployed base stations cause a serious problem of waste energy consumption when the load of networks is low. In this paper, based on the concept of energy saving system in 3GPP, the high energy efficiency and base station cooperatively for heterogeneous wireless network are further developed. Energy-saving algorithm of base station is introduced, which is aiming at saving energy consumption and taking account of capacity of the network. Specifically as follows:(1) For the homogeneous network scenario, we propose an energy-efficient algorithm of base station based on coverage definition signal power adjustment. The calculation method of pilot power adjustment is designed. The sleep base station traffic transferred is optimized by adjusting the parameters of pilot power, so that the service traffic can be transferred to the concentrated active base station, so as to reduce the energy consumption of the network.(2) For heterogeneous network scenarios, an energy-efficient algorithm of base station based on network hierarchical services is proposed. The heterogeneous network hierarchical services model is introduced to implement the proposed cooperative architecture. Then, the base station cooperatively and dynamically makes intelligent decisions to adopt the best traffic transfer strategy, so as to reduce the energy consumption and guarantee the network Quality of Service (QoS).Based on regional traffic variations, we propose two integrated energy-saving algorithms of base station under two different network scenarios. In each algorithm, we give corresponding analysis and research for the key issues of energy-saving technology, such as energy-saving trigger and recovery conditions, energy consumption model, local compensation method, energy saving optimization mathematical model and performance evaluation method. The feasibility and validity of these algorithms are evaluated through simulations. Results show that these algorithms take on practical significance.