Research On Radio Resource Allocation Based On Interference Information In URLLC Industrial Internet Of Things

With the integration and development of the new generation 5G communication technology and industry,the 5G wireless network will support emerging industrial applications that require ultra-high reliability and ultra-low latency,such as industrial automation(Industry 4.0),smart grid,autonomous driving and other ultra-reliable and low-latency communication(uRLLC)applications.However,in the uRLLC industrial IoT scenario based on the 5G multi-cellular network deployment,the severe inter-cell interference(ICI)problem will have an undeniable impact on the communication quality of industrial equipment with strict QoS(Quality of Service)requirements,making it difficult to support low-latency and high-reliable communication services in realistic scenarios.Therefore,interference-aware radio resource allocation technology will play an important role in the future uRLLC industrial IoT,which can not only improve the communication quality of industrial equipment,but also reduce communication costs,improve system reliability and stability,and promote the development of industrial IoT.Therefore,based on the interference information acquired by the existing interference identification technology,this paper analyzes how to allocate radio resources based on interference information for the uRLLC grant-free access scenario and the uRLLC industrial Internet of Things scenario where multiple service types coexist.On this basis,a resource allocation framework and algorithm based on interference information is proposed,which can effectively alleviate the impact of inter-cell interference on the communication quality of uRLLC industrial equipment.The main contributions and innovations of this paper includes:(i).A radio resource allocation framework based on interference information in the uRLLC Grant-Free(GF)access scenario is designed.The framework consists of four parts:interference awareness,terminal clustering,sub-channel allocation and power adjustment.Firstly,accurate and statistical interference information is obtained based on interference aware technology,and then the uRLLC terminals are clustered by taking advantage of the interference information.The purpose of clustering is to enable terminals with strong inter-cell interference caused by each other to use different sub-channels in the channel configuration module.The terminal sets with weak mutual interference reuse the same subchannel,and the power adjustment module adjusts the power of the terminals in each set based on the above modules,so as to further reduce the impact of inter-cell interference on the transmission performance of uRLLC terminals.In addition,combined with the K-Repetition transmission mechanism,this framework proposes a dynamic clustering strategy that can achieve interference diversity,which can fully exploit the interference diversity gain that can be obtained by repeated transmission on the basis of the obtained frequency diversity gain,effectively improving the reliability of uRLLC terminal data transmission.(i).The paper proposes a novel radio resource allocation framework based on interference-awareness in the Grant-Free transmission scenario of uRLLC.This framework consists of four parts:interference sensing,terminal clustering,channel allocation,and power adjustment.Firstly,interference sensing technology is utilized to acquire accurate statistical interference information.Then,uRLLC terminals are clustered based on the interference information.The purpose of clustering is to allocate different sub-channels to terminals with strong inter-cell interference and reuse the same sub-channels for terminals with weak inter-cell interference in the channel allocation module.The power adjustment module adjusts the power based on the above process to further reduce the impact of weak interference on the system transmission performance.In addition,combined with the K-Repetition transmission mechanism,this framework proposes a dynamic clustering strategy that can achieve interference diversity,which can fully exploit the interference diversity gain that can be obtained by repeated transmission on the basis of the obtained frequency diversity gain,effectively improving the reliability of uRLLC terminal data transmission.(ii).In the uRLLC industrial IoT scenario where multiple types of services coexist,this study designs a GF&GB(Grant-Free and GrantBased)hybrid resource allocation framework.The framework integrates the uRLLC resource configuration module based on grant-free access and the eMBB resource scheduling module based on scheduled access,using interference information and combining two different resource allocation modes to solve the resource allocation problem in uRLLC industrial IoT scenarios of multiple service types.The framework proposes a uRLLC terminal resource allocation algorithm based on the minimum resource occupation and an eMBB terminal resource scheduling algorithm based on deep reinforcement learning,and performs fixed allocation and flexible scheduling of radio resources respectively.On the premise of ensuring that the delay and reliability performance of uRLLC terminals are satisfied,the total throughput of eMBB terminals is effectively improved.