Research On Group-based Access Control And Resource Allocation Of MTC

In recent years,Machine-Type Communication(MTC)has played an increasingly important role of the vision inspired by the Internet of Things(Io T).Machine-type communication refers to the communication technology between a machine-type communication device(MTCD)and an MTC server,or between two MTCDs.MTC has the characteristics of high density,low mobility,and short data packets.It has been widely used in scenarios such as smart meters,security facilities,and in-vehicle communications.The future market prospects are very broad.But large-scale deployment of MTC is a severe challenge to the network.First,the large-scale accessing of devices with different Quality-of-Service(Qo S)will cause network congestion,which will increase the access delay and cause device access failure;secondly,the deployment of a large number of devices in the network will cause network congestion.The consumption of resources is huge.Among the many solutions proposed for this problem,the group-based solution is an important solution.Therefore,we proposed a congestion control scheme based on delay-constrained packet access for largescale access in MTC;for the problem of resource allocation,the research proposed a resource allocation scheme based on grouping.The main research are as follows:Firstly,the problem of maximizing MTCD throughput while satisfying the delay constraint was studied.First of all,focusing on the two characteristics of large-scale coverage and delay sensitivity of equipment in MTC,we proposed a random access scenario based on delay grouping,and then we applied Markov process to analyze the model,and the throughput is obtained.We established the closed expression of the quantity and an optimization problem of maximizing the throughput under the delay constraint.In order to solve the optimization problem,combined with the traditional ACB(Acess Class Baring)solution,a grouped static ACB congestion control algorithm is proposed.To make up for the shortcomings of static algorithms,we proposed a heuristic algorithm to update the parameters.The algorithm combines the traditional ACB scheme to dynamically tune appropriate ACB parameters for different groups.The analysis shows that the application of this algorithm can gain better system throughput.Secondly,the study further researched on the resource allocation problem of MTCD based on geographical location grouping.First,this article established a group-based model in the MTC scenario.That is,when each MTCD sends data to an e NB(evolved Node B),there is an MTCG(Machine-Type Communication Gateway,MTCG)acts as its relay.An MTCG and some MTCDs it serves form a group.The group-based uplink communication link has two hops: the MTCD-MTCG link and the MTCG-e NB link,thus the two-hop links that will not interfere with each other reuse the same resource to increase resources usage efficiency.Combining the characteristics of MTCD business diversity,MTCD was divided into GBR(Guaranteed Bit Rate)equipment and non-GBR equipment according to the different resource requirements of MTCD.Then,for the resource reuse scenarios of the uplink of two devices,different groups,and two-hop links,the interference situation in the system was analyzed,the interference graph of the system was drawn,and the method of coloring the chord graph was proposed,while maximizing the satisfaction rate of GBR equipment,the research also provided a resource allocation plan for non-GBR equipment with maximum and minimum fairness allocation as the goal.Finally,simulation shows that the proposed scheme can effectively improve the communication satisfaction of the MTCD in the system and the resource utilization rate of the system.