Research On Joint Utility Optimization And Incentive Algorithms For Spectrum Sharing

The number of users of wireless communication systems has increased exponentially and the demand for spectrum is growing quickly at present.This requires the adoption of new regulatory methods and technical tools in spectrum allocation,utilization and management in order to achieve more flexible spectrum allocation and dynamic spectrum sharing,and meet the increasing demand for spectrum resources.The rapid development of wireless communication network not only brings better user experience,but also brings significant increase in energy and expenses,so spectrum sharing in dense network becomes more important.To solve the throughput and cost problems during spectrum sharing process in future mobile communication,a joint utility optimization algorithm for hybrid spectrum sharing is proposed in this dissertation,in which secondary users(SUs)can comprehensively access the spectrum of primary users(PUs)with licensed frequency bands and mobile network operators(MNOs).Transactions between SUs and PUs are made on the consortium blockchain,where users can directly perform spectrum transactions,while the information about the transactions is logged in the blockchain.The joint utility function is constructed based on throughput and cost,which is split into two sub-layer optimization problems.The upper layer optimizes the sensing time and the number of SUs engaged in cooperative spectrum sensing by means of an exhaustive method,and the lower layer optimizes the power allocation according to the Dinkelbach algorithm and the Lagrange multiplier method.Simulation results show that the proposed algorithm can achieve higher joint utility.Aiming at the problems of spectrum resource utilization and energy consumption in dense networks,a blockchain-based spectrum sharing network model is constructed and the compensation concept of blockchain spectrum sharing is introduced in this dissertation.The energy efficiency of the network based on energy harvesting is modeled and analyzed,and a spectrum sharing incentive algorithm based on game theory is proposed according to the application of game theory.The reputation parameter is introduced to the traditional game theory strategy to motivate users in the cell to share spectrum and improve the spectrum utilization rate.Combined with energy harvesting technology,radio frequency energy in the environment is collected to provide energy for users’ transmission.Simulation results show that the spectrum sharing incentive algorithm based on game theory proposed in this dissertation can improve spectrum utilization and energy efficiency in dense networks.