Research On Resource Scheduling Of Heterogeneous Wireless Green Networks Based On Online Game

The stringent requirements of viral deployment of SBSs have made limiting the potentially tremendous ensuing energy consumption one of the most challenging problems for the design of the upcoming 5G networks.To enable sustainable 5G networks,new technologies have been proposed to improve the system energy efficiency,and alternative energy sources are introduced to reduce our dependence on traditional fossil fuels.In particular,various 5G techniques target the reduction of the energy consumption without sacrificing the quality of service.Hence,in the paper,a method of deploying self-powered SBS is proposed.Due to the unpredictability of natural weather,energy harvesting is often unstable and unpredictable.In order to solve the uncertainty in green network,This paper presents an algorithm based on online game.This method can make optimal online decisions while the energy arrival is unknown.Turn BS OFF at the optimal time point to reduce the energy consumption in the network.This paper first introduces the research of link switching optimization in green backhaul network.In the backhaul network,a self-powered SBS wireless backhaul network is introduced.A new online game algorithm is proposed to select a suitable backhual network,and through the algorithm can effectively reduce the cost of information transmission and energy resources in the network.Then,we mainly study the problem about multi-tier ON/OFF scheduling of self-powered SBSs is studied in the presence of energy harvesting uncertainty with the goal of minimizing the total costs,including energy consumption and transmission delay,of a network.To address this problem,we present an algorithm that can solve the problems of user equipment(UE),including when to connect and to which SBS to connect.Then,each SBS can effectively determine its ON/OFF schedule based on the UE connection station,without any prior information about future energy arrivals.The simulation results show that,compared to a fixed-time approach,the proposed ON/OFF scheduling approach yields significant performance gains,reaching a 23.5% reduction in total cost for cellular networks.