Energy-efficient Resource Allocation Mechanism Of MMTC Network Based On Relay And Forwarding

As the era of the Internet of Everything is approaching,massive machine-type communication(mMTC)is proposed and can provide access to millions of terminals.At present,there are still some challenges in the mMTC network.On the one hand,IoT terminals often work in an environment where energy is limited and manpower is difficult to reach,so the energy efficiency of the battery is extremely important;Coverage also sets higher requirements.Relay forwarding can improve system energy efficiency and network access capabilities.However,in the mMTC application of relay and forwarding technology,there will be problems such as power control,relay selection,and channel allocation.These problems will affect the overall energy efficiency and access performance of the system.Therefore,this paper will study the energy-efficient resource allocation mechanism of mMTC network based on relay forwarding,which mainly solves the problem of energy efficiency and improves the network access and coverage capabilities.Aiming at the above problems,in the mMTC network scenario,this paper proposes a resource allocation mechanism that optimizes energy efficiency.With the help of a two-hop relay link,it jointly optimizes power control,relay selection,and channel allocation.For the mMTC network,this article introduces Device-to-Device(D2D)communication technology and Non-Orthogonal Multiple-Access(NOMA)technology to achieve multiple ways of relaying.Forwarding strategy.Specifically,1)As heterogeneous networks become more and more common,this research point considers the resource allocation mechanism in heterogeneous network scenarios including macro base stations and micro base stations.This research point considers that the mMTC network implements a two-hop relay link through the use of D2D technology,thereby achieving energy-efficient transmission.First,this research point constructs a mixed integer programming problem that considers power control,relay selection,and channel allocation simultaneously.Then,this research point decomposes this problem into a power control sub-problem and a device-relay-channel matching sub-problem.The power control subproblem was proved to be a quasi-concave problem,and the Dinkelbach algorithm was used to solve the optimal solution.The device-relay-channel matching subproblem is a three-dimensional matching problem.Based on the theory of hypergraph and conflict graph,this paper solves the problem by converting the original problem into the largest independent set problem in graph theory.2)The energy-efficient resource allocation mechanism of the mMTC network based on NOMA group communication achieves higher energy efficiency indicators through the introduction of NOMA technology.First,this paper completes the clustering of edge IoT devices through an Improved Fast Cluster Search and Find Density Peaks(A-CFSFDP).Then,the NOMA group accesses the base station by multiplexing the channel of a common device,thereby improving the utilization rate of the spectrum and the coverage of the network.For the power control problem in NOMA group,this paper innovatively adopts Cournot game to realize distributed power control.For the three-dimensional matching problem between NOMA groups,relay nodes and channels,this paper uses the accumulated three-dimensional matching algorithm of research point one to solve it.Aiming at the energy efficiency optimization problem in the mMTC scenario,this paper proposes a D2D assisted energy-efficient resource allocation mechanism for heterogeneous mMTC networks and a NOMA group-based mMTC network-based energy allocation mechanism.Through the rational planning of the spectrum and devices,the energy-efficient optimization of the mMTC network has been achieved,and the network's coverage and access capabilities have been improved to meet the future growth of the Internet of Things.