Research On Resource Allocation With The Requirements Of Industrial Internet Communication

In recent years,with the rapid development of digital factories and the strong support of the fifth generation(5G)mobile communication technology for vertical industries,wireless industrial Internet(WII)will provide support for the development of the future industry with its advantages of flexible deployment,convenient debugging,and low installation and maintenance costs.In addition,the types of services in the expanding factories become diverse,such as high-definition video transmission,manufacturing control,and emergency alarm systems.These services can be divided into two categories,namely enhanced mobile broadband(eMBB)services and ultra reliable low latency communications(URLLC)services.On this basis,combining the great strategic significance of the manufacturing industry to our country,this paper focuses on the reliability of URLLC services in the factory and improves the reliability as much as possible.However,with the limited wireless resources and the requirements of eMBB services for throughput and other indicators,it is challenging that how to allocate resources reasonably to meet the performance indicators of various services.The traditional infinite length coding theory is no longer suitable for URRLC services with its inflexible scheduling and high latency.On this basis,with the characteristics of limited wireless resources,mixed services,high throughput of eMBB services and strict requirements of URLLC services for reliability and latency,this paper obtains the decoding error rate of URLLC devices through the finite length coding theory.In this case,multiple information transmission schemes and resource allocation algorithms have been proposed to improve the reliability of manufacturing services as much as possible.At the same time,with other services coexisting in the factory,ensure that the key requirements can be met,so as not to affect the overall operation of the factory.The main work of this paper is as follows.First of all,with the problem of reduced transmission reliability caused by high pathloss in the wireless industrial Internet.This paper introduces a relay to forward information and designs an information transmission scheme with the dual link in which the direct transmission link and the relay forwarding link coexist under the centralized central controller of the digital factory.And in this case,a resource allocation algorithm that jointly optimizes power control,relay deployment and code length is proposed to obtain the minimum decoding error rate of URLLC devices.In addition,this paper uses the methods of linear approximation and probability theory to obtain the closed-form expression of the decoding error rate and deals with the problem that can not be solved with the complex complementary cumulative distribution function.On this basis,the optimization problem is decoupled into three sub-problems through the block coordinate descent optimization(BCDO)algorithm.In this case,the optimal transmit power,relay deployment and code length are respectively obtained with dinkelbach algorithm,variable relaxation,successive convex approximation(SCA)and difference of convex(DC).Then these three sub-problems are alternately iterated to obtain the minimum decoding error rate of URLLC devcices.Finally,numerical simulations are implemented to verify the convergence of the proposed algorithm.In addition,the gains of the proposed algorithm and other schemes are compared,which proves that the proposed scheme can significantly improve the reliability of the system.Next,in view of the insufficient coverage of a single centralized central controller and the strict requirements of URLLC services for reliability in WII,this paper designs a communication scheme with distributed multiple access points for information transmission on the roof of workshops.In this case,a resource allocation algorithm that jointly optimizes connection selection,power control,and access point deployment is proposed to obtain the minimum decoding error rate of URLLC devices.In order to solve this mixed integer nonlinear optimization problem,this paper separates the connection selection and power control issues from the deployment problem of the access point.Through branch and bound,variable substitution,SCA,and DC,one problem can be solved with another fixed problem,then iterate them alternately to obtain the minimum decoding error rate.Finally,the simulation verifies the convergence and effectiveness of the proposed algorithm for resource allocation,and proves that it can significantly improve the reliability of the system.Finally,with the resource allocation problem of mixed services in WII under limited resources,this paper introduces a resource allocation scheme with puncturing under mixed services and designs a puncture weight matrix.So that URLLC services can reasonably occupy resources from eMBB services.Furthermore,the reliability of URLLC services can be improved as much as possible while meeting the requirements of eMBB services for throughput.In this case,a resource allocation algorithm that jointly optimizes power control,bandwidth pre-allocation and puncture weight matrix is proposed to obtain the minimum decoding error rate of URLLC devices.The optimal transmit power,bandwidth allocation and puncture weight matrix are obtained with exponential cone delimitation,variable substitution,SCA and DC.Furthermore,the BCDO algorithm is used to alternate them iteratively to obtain the minimum decoding error rate.Finally,the simulation verifies the effectiveness and convergence of the proposed resource allocation algorithm,and proves that the proposed algorithm has obvious gains compared with other references which can significantly improve the reliability of the system.