Cognitive Wireless Network Based On Interruptible Vacation Performance Optimization Of Energy-Saving Mechanism

In traditional spectrum resource allocation,all users are treated equally,and the impact of energy-saving mechanism on users is more balanced.Cognitive Radio Networks(CRN)divides users into authorized users and unauthorized users.Based on the dynamic spectrum allocation of base stations,this paper studies the energy-saving mechanism and performance optimization in CRN under the discrete-time structure.Firstly,in order to improve the response performance of unauthorized user data packets,an energy-saving mechanism NT-ISM-ESS(Energy Saving Strategy with Interruptible Sleep Model of N,T Strategy)based on(N,T)hybrid strategy sleep mode is proposed.Under the discrete time structure,an interruptible single vacation queuing model with(N,T)mixed strategy is established,and a two-dimensional Markov chain is constructed by matrix geometric solution method for steady-state analysis of the model.The performance evaluation of energy-saving mechanism is carried out by numerical experiments.Secondly,in order to improve the energy saving level of the system,the base station will perform sub-continuous dormancy according to the current auxiliary workload.An energy-saving mechanism HT-ISM-ESS(Energy Saving Strategy with Interruptible Sleep Model of H,T Strategy)based on multi-level adaptive dormancy mode is proposed.Under the discrete-time structure,an interruptible vacation queuing model with multi-level adaptability is established.A three-dimensional Markov chain is constructed by using the method of matrix geometric solution to evaluate the average residence time of unauthorized user data packages and the energy saving rate of the system.The performance analysis of energy-saving mechanism is carried out by numerical experiments.Then,a new energy-saving mechanism,NHT-ISM-ESS(Energy Saving Strategy with Interruptible Sleep Model of N,H,T Strategy),is proposed to improve the system's energy saving rate and the response performance of unauthorized user data packages by compromising N-strategy and multi-level adaptive strategy.Under the discrete time structure,an interruptible vacation queuing model with(N,T)hybrid strategy and multi-level adaptability is established.A three-dimensional Markov chain is constructed by using matrix geometric solution to evaluate the average residence time of unauthorized user data packets and the energy saving rate of the system.The energy saving mechanism is analyzed by numerical experiments.Finally,system experiments are carried out to obtain the effects of different system parameters,such as dormancy parameters,dormancy times,wake-up threshold,on the system performance.The validity of the proposed NT-ISM-ESS,HT-ISM-ESS and NHT-ISM-ESS is verified.Establish the system cost function,improve the artificial ant colony optimization(ACO)to jointly optimize the dormancy parameters and wake-up threshold of NT-ISM-ESS,jointly optimize the dormancy parameters and times of HT-ISM-ESS,and jointly optimize the dormancy parameters,times of dormancy and wake-up threshold of NHT-ISM-ESS.