Research On Hybrid Multiservice Resource Scheduling Algorithm For M2M Applications

With the rapid development of mobile communication technology,the concept of the Internet of Things has drawn much attention after the realization of H2 H communication.The communication between M2 M is an important direction for the development of IoT in the future.Due to the high speed,wide coverage and high maturity,LTE network is generally used in M2 M communication.However,there are still many problems when a large number of M2 M devices are directly connected to the existing LTE network which is mainly used for H2 H communication.One obvious problem is that existing LTE network can not meet the requirements for QoS of a large number of M2 M devices,because the LTE network mainly faces on the H2 H communication which emphasizes the fairness between users.However,there are various types of users in the M2 M network and users need to be prioritized,this thesis aims to solve this issue so that wireless resource scheduling algorithm is studied and the traditional LTE scheduling algorithm is improved for the M2 M scenario.First of all,this thesis introduces the concept and characteristics of M2 M communication,and summarizes current study of wireless resource scheduling algorithm and significance of this research.The thesis introduces the LTE scheduling model and the classical packet scheduling algorithm and then illustrates the problem when applying these classical algorithms into M2 M scenarios.Then,the thesis studies the scheduling algorithm based on QoS-guarantee for M2 M applications.We provide the absolute prioritized transmission for priority-1 users,introduce protection interval for priority-2 users.System-level simulations show that the algorithm sacrifices some priority-3 users,that is,the performance of users who are insensitive to QoS requirements.Under the premise of ensuring priority-2,the performance of priority-1 users is greatly improved.Besides,this thesis studies scheduling algorithms in mixed-service scenarios in M2 M applications.In this kind of scenario,the user data flow models differ greatly from each other,making the low-priority queue length factor possibly larger than the medium priority.Therefore,this chapter introduces the method of queue length mapping so that queue length factors of different priorities are controlled within a certain range.To protect the transmission of priority-2 users,the proposed method sacrifices the performance of priority-3.Then,methods of resource estimation and delay equalization are introduced to improve resource utilization.System-level simulations show that the throughput and latency of the scheduler are improved.Finally,the thesis introduces the structure and simulation flow of the Vienna LTE system-level platform.Then,in order to achieve the improvement of the scheduling algorithm on this platform,the platform is redeveloped secondly.Furthermore,to facilitate the research and improvement of priority-based scheduling algorithms,this thesis designs the GUI interface,provides the parameter setting interface for the scheduling algorithm and improves the user experience of the platform.