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Research On User Scheduling Algorithm In 5G Millimeter Wave Hybrid Service Scenario

Posted on:2023-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:R L WangFull Text:PDF
GTID:2568306914981699Subject:Electronic and communication engineering
Abstract/Summary:
At present,the key technologies of 5G are developing in the direction of enhancing the capabilities of cellular IoT and the real-time interactive experience of users,so as to meet the growing demand for data traffic and wireless digital connections in communication systems.Therefore,how to reasonably allocate wireless resources to meet the service quality requirements of diverse and differentiated services has always been an important research direction.Under the above background,starting from the physical layer design and system-level modeling of wireless new air interface,based on the wireless resource scheduling theory and 5G millimeter wave technology,this thesis conducts a detailed analysis and research on user scheduling in mixed service scenarios,aiming at a more reasonable Allocate wireless resources to meet the service quality requirements of different services,and provide a hybrid service user scheduling scheme that can be implemented under the existing communication framework.The main research content of this thesis is divided into the following three parts:First,the user scheduling and resource allocation process based on 5G wireless resource scheduling theory,including time-frequency resource allocation,channel quality reporting,link adaptation,and user scheduling algorithms,this thesis conducts system-level modeling,and established a general user scheduling and radio resource allocation model for hybrid service scenarios.Then,based on the 5G millimeter-wave antenna model and the traditional standard channel model,this thesis additionally models the new characteristics of the millimeter-wave channel,including penetration loss,oxygen loss,and blocking loss,and provides real and accurate millimeter-wave channel data for system-level simulation.Secondly,based on the accurate modeling of millimeter wave channel,this thesis establishes a system level simulation platform based on wireless air interface protocol process and hybrid service transmission model,which is used to study and evaluate the system performance of millimeter wave wireless network and the key technologies of hybrid service scenario.Then,this thesis simulates and analyzes the system performance differences in different frequency bands in the system level platform.From the simulation results,it can be seen that the high-frequency millimeter wave with large bandwidth and flexible frame structure has higher system capacity and lower transmission delay than the low-frequency millimeter wave,which is more suitable for the transmission of services with higher quality of service requirements.Finally,for the typical time-division duplex downlink enhance mobile broadband and ultra reliable&low latency communications hybrid service scenarios of 5G NR,this thesis adopts 5G millimeter wave technology and semi-static resource reservation and multiplexing strategy to simulate and study the performance of different traditional user scheduling algorithms system performance.Then,by analyzing the performance characteristics of each scheduling algorithm in the mixed business scenario,under the premise of ensuring system performance,this thesis optimizes the design of the service quality index of the scheduling algorithm,so as to better meet the service quality constraints of the business.It can be seen from the simulation experiment results that the use of 5G millimeter wave technology and semi-static resource reservation scheme can meet the service quality requirements of mixed business scenarios to a certain extent,which verifies the rationality of the user scheduling scheme proposed in this thesis under the existing communication framework.It is of great significance to the research on user scheduling and the realization of resource allocation schemes in future mixed business scenarios.
Keywords/Search Tags:5G mm Wave, Hybrid Services, Radio Resource Scheduling, User Quality of Service
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