Research On Energy And Cost Optimization As Well As User Behavior In N-policy Sleeping System

Wireless communication technology plays a more and more important role in people's daily life,but it also leads to huge energy consumption.Therefore,we need to adopt a reasonable sleep strategy that ensures Qo S(Quality of Service)requirements and reduces system energy consumption and cost at the same time.At present,most of the researches on sleep strategy only focused on energy consumption and little literature study cost and user behavior.Based on the system model of N-policy sleep,this paper optimizes the BS's energy and cost.And it also uses the rewarded access scheme to study the user join behavior and base station revenue problem.The main contents are as follows:Firstly,the energy and cost of base station are optimized according to the N-policy sleeping system.We model the working process of base station as a M/G/1 queue with setup time.By using the method of embedded Markov chain to analyze the vacation queue,we can get the closed form expression of the user queue length and the average sojourn time.In the limit of average sojourn time,we select a appropriate sleep value N,so that the energy consumption of the base station reaches the minimum.At the same time,we consider the setup management cost and queuing loss cost unit time to optimize the total cost of base station.Secondly,in this N-policy sleeping system,it is assumed that the base station has a number of channels and adopts interruptible setup/closedown policy.The rewarded access scheme is introduced to study the user strategic access behavior.The positive and negative of the user's utility value determines whether the user will choose to join the base station to wait for service.Under BS's different states,according to the utility function,different limit values that regarded as user's equilibrium access strategy are obtained.Finally,under the user's equilibrium access strategy,the average revenue rate of the base station is analyzed.The BS's revenue includes its earnings in working and sleeping states and the cost of energy consumption while it is idle.According to the state transition rate diagram of the base station,a set of flow balance equations are obtained.By the normalization condition of the probability,the probability of the base station in each state can be obtained,and then the average revenue rate of the base station is optimized.