Energy Saving Scheduling Scheme In Cache-based Wireless Network Under High Speed Scenario

With the increase of people's travel demand and the development of broadband multimedia services,more and more users have the communication demand in the high-speed mobile scenarios.The highspeed train(High Speed Railway,HSR)is one of the typical vehicles in the high-speed mobile communication scenarios under fast time-varying channel.The high-speed mobility and the penetration loss caused by the special materials of the high-speed train's carriage lead to new challenges for communication on the HSR.In this paper,the characteristics and challenges of high-speed mobile communication scenarios are discussed in detail.This paper focuses on the algorithms and strategies of power resources optimization for converged networks based on the onboard relay base stations.We also assume the size of cache of the onboard UE is infinite in this paper.Firstly,this paper investigates and analyzes the communication service model in the high-speed railway scene to learn the user's habits and needs of the network resources;and then the popularity of the service is modeled.The statistical analysis of the user's request behavior data shows that: Web browsing and streaming media occupy a large proportion of network traffic,which verifies the popularity of the service follows a typical power-law distribution.Based on the popularity distribution of the services,this paper presents a converged network system,by which the most popular services are pre-pushed to the users on high-speed railway trains.Based on this system,the power resource allocation algorithms of the on-vehicle user side and the relay side are studied separately.Secondly,the power resource scheduling algorithm for relay-to-user downlink based on popular service pre-push is studied.The resource scheduling is carried out by the relay base station deployed in the train;and the user side caching mechanism is combined to improve the network capacity in the HSR scene;the power consumption cost of the user is also optimized.We propose a sleep-awake scheduling algorithm,which can reduce the useless request rate in the converged network and reduce the power consumption of the user effectively.By combining the converged network with different cache strategy,the proposed algorithm can also effectively improve the network capacity.In the end,this paper studies the power resource scheduling optimization algorithm for the relay base station in the converged network.Comparing to cellular-only network,the converged network faces with the problem of redundant power consumption.In order to reduce the useless power consumption cause by broadcasting network as much as possible,this paper proposes a push-window-control resource scheduling algorithm based on the dwelling time of vehicle users in the train.This algorithm optimizes the power resources allocation of the base station to minimize the energy consumption while satisfying the user's requirements.