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Research On Uplink Resource Allocation Algorithms In H2H?M2M Co-existence Scenario

Posted on:2019-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:J S JiangFull Text:PDF
GTID:2428330566495854Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
There will be a large number of machine-to-machine(M2M)communication terminals in the network,larger than human to human(H2H)communication terminals.Unlike H2 H terminals,M2 M terminals are characterized by large numbers,mainly uplink transmission,delay tolerance,and low mobility.However,the resource allocation algorithm in the traditional mobile communication network is mainly designed for H2 H communication and can not meet the new requirements of the M2 M service.The paper research the resource allocation algorithm of the scenario that the H2 H terminal and the M2 M terminal coexist,mainly including the following three aspects:(1)An uplink resource allocation algorithm based on the backpack model is proposed.The algorithm is applied to the case that in a 4G network coexists with M2 H terminals and H2 H terminals,and a problem based on a knapsack problem is introduced into a resource allocation algorithm.By analyzing the differences between M2 M terminals and H2 H terminals,it is firstly allocate resources for H2 H services and delay-sensitive M2 M services to ensure their QoS.Second,resources are allocated to delay-insensitive M2 M services to save energy in the network Consumption.The simulation results show that the proposed algorithm can improve the utilization ratio of uplink resources and the throughput of wireless network in the LTE network,and take full account of the characteristics of M2 M services to meet the QoS requirements of different services.(2)A resource allocation algorithm to maximize the effective capacity is proposed.The algorithm is applied to the case where many H2 H terminal and M2 M terminals coexist in a 5G network,and Multiple Knapsack Problem is introduced into a resource allocation algorithm.By analyzing the characteristics of a large number of terminals and services in a 5G network,visualize the wireless network resources and enable the service to use physical resources of multiple base stations simultaneously to maximize the effective capacity of the network system.Aiming at the existence of massive M2 M and H2 H terminals in the future,it can guarantee the QoS requirements of delay-sensitive services and solve the problem of serving a large number of terminals.The simulation results show that the algorithm can make full use of the three-dimensional resources of time,frequency and power,satisfy the service requirements of M2 M terminal and H2 H terminal at the same time,and improve the transmission performance of 5G network uplink.(3)A UDN wireless network resource management and control platform is designed andcompleted,and a UDN wireless network verification system is built.The system consists of terminal users,eNodeB(Evolved Node B),base station control and resource management platform server and database.This system mainly focus on ultra dense coordination,network topology,user switching,wireless resource allocation in wireless network.The system complete communication protocol with base station,upload and display resources,show the topology of eNodeB base station and the terminal user,make dynamic spectrum allocation to maximize throughput,control switching parameters.The test results show that the resource management platform can reduce the network interference,effectively carry out the spectrum allocation and user switching.Finally,this paper summarizes the research,and looks forward to the future work.
Keywords/Search Tags:Machine and Machine Communication, Knapsack Model, 5G, Effective Capacity, Resource Management Control Platform
PDF Full Text Request
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