Research On Cooperative Spectrum Sensing Technology And Application Based On Cognitive Radio

The development and progress of communication technology has brought convenience to our daily lives and promoted the all-round development of society and economy.The emergence of more and more wireless devices requires more spectrum resources,which makes people have higher requirements for communication technology.However,the existing allocatable spectrum resources are limited,and the allocated spectrum utilization rate is low.Therefore,cognitive radio technology has emerged,which is the most effective method to improve the spectrum utilization rate.This paper mainly studies the cooperative spectrum sensing technology of cognitive radio and its application in smart grid.In view of the fact that single-node signal detection in cognitive radio is susceptible to path loss,shadow effects,and multipath fading,a multi-node cooperative spectrum sensing technology is proposed.In cooperative spectrum sensing,for the "K" rank fusion criterion,the optimal K value is obtained according to the number of users participating in the cooperation,and the influence of the signal-to-noise ratio on the performance of the criterion is studied.The simulation results show that when the signal-to-noise ratio decreases,the performance based on the dynamic "K" rank fusion criterion is still better than the fixed value"K" rank fusion criterion.At the same time,the influence of the sensing time and the number of sensing nodes on the packet loss rate and delay is studied.Dynamic demand response is the key to the efficient operation of smart grids.On this basis,a distributed electricity price strategy based on electricity price incentives is studied,as well as the effect of communication quality on user revenue,power company revenue,and dynamic demand response performance.influences.Spectrum sensing will bring additional costs.The cost of cooperative spectrum sensing is specifically energy consumption and time delay.The optimization problem between dynamic demand response performance and sensing cost is analyzed,and genetic algorithm is used to solve it.At the same time,the influence of the sensing time and the number of sensing nodes on the packet loss rate is studied.Simulation results show that in the case of non-ideal communication,information interruption leads to the imbalance of power supply and demand,which will affect the optimal electricity price and dynamic demand response performance.By introducing cooperative spectrum sensing technology,the dynamic demand response performance is significantly improved,and there is an optimal sensing time to minimize the delay.Genetic algorithm can achieve the optimal balance between dynamic demand response performance and perceived cost,and the decision-maker can make the best choice according to the actual demand...