Research On Resource Scheduling Technique In Non-Orthogonal Multiple Access

With the increasing diversity of business types and needs,the number of users has dramatically increased and 5G communications has entered into people's vision.Due to the explosive growth of the number of mobile terminals,spectrum resources become more scarce and spectral efficiency has become a technical bottleneck of 5G.In this context,the technology of Non-Orthogonal Multiple Access(NOMA)arises at the historic moment.By multiplexing on the power domain,multiple users can share the same time-frequency resource block,which can effectively improve the spectral efficiency while maintaining the fairness performance excellent.The purpose of this paper is to provide an improved power allocation method to improve system capacity in NOMA scenario.This method combines improved proportional fairness scheduling algorithm,iterative water-filling power allocation algorithm and FTPA power allocation algorithm.The main contents of this paper include:1.An improved proportional fairness scheduling algorithm based on the change of number of users is proposed to improve the system capacity under NOMA scenario with little fairness loss.The simulation platform is designed and implemented.The iterative water-filling power allocation algorithm and FTPA power allocation algorithm are used to realize the power distribution among users to test the performance of the system.2.Prior to the user selection phase,the user matching algorithm based on the MCS selection is used to screen out the user groups that do not meet the requirements and reduce the number of times of the selection of the optimal user combination phase.With a certain loss of throughput,the complexity of proportional fairness scheduling is significantly reduced.In addition,the S-PF algorithm and the D-PF algorithm can be used to improve the user selection phase.By selecting two paired users in turn,the complexity of proportional fairness scheduling can be significantly reduced at a certain loss of throughput.The purpose of this paper is to ensure certain users' fairness and significantly improve the system capacity by reasonable power allocation among users.On the other hand,this paper can significantly reduce the complexity in the case of ensuring a certain spectrum efficiency.