Research On Wireless Resource Slicing Technology Under Delay-QoS Constraints

For the communication scenarios of heterogeneous arrivals in the fifth generation cellular networks,slicing is believed to be an effective way to provide quality-of-service(QoS)provisioning.Three use case categories with stringent heterogeneity are already classified as enhanced mobile broadband(e MBB),ultra-reliable low latency communications(URLLC),and massive internet of things(MIo T).The high quality video streaming and fast large file transmission are two kinds of typical e MBB applications.The URLLC is urgently needed by remote control systems and industrial automation.The MIo T scenario contains a large number of devices with high density in space.The network slicing has been considered as the most effective 5G core technology to provide customized QoS provisioning for heterogeneous services.Based on the analysis of the random characteristics of the arriving traffic in the network,the paper mainly studies the scenario of the arrival of heterogeneous traffic on the wireless resource slice.However,the reports on an effective segmentation of resources for random and bursty arrival are rare.Relying on the bandwidth estimation and service design,we give a simple but effective scheme for the slicing of bandwidths named two-hole leaky bucket random service mechanism.The service in our scheme comprises two parts,the specific basic service and shared random compensation service.Accordingly,the mechanism of resource allocation is just like leaky bucket with two holes,one of which has a random leak rate.To guarantee the statistical QoS of heterogeneous traffic flows,effective bandwidth/capacity theory is introduced into the slicing scheme.By establishing function equations,we deduce the compensation probability of each slice,which is taken as the slicing adjustment factor.Simulation results prove that the random compensation scheme can satisfy the statistical QoS requirements of heterogeneous traffic flows.Although the scheme is proved to be effective against two slices,the proposed model is applicable to general multiple heterogeneous arrivals.The network slice should has at least three properties.The first one is the virtualization:network slicing is a virtual concept,the second one is that the resources in the slice are dynamically allocated,and the third is that the performance between slices is isolated.Under the constraints of statistical delay-QoS,the random compensation service process can serve traffic without sending pilots frequently,saving bandwidth resources.Since the random compensation bandwidth is shared among the slices and the bandwidth is small,the network resource fragments can be used to dynamically adjust the resources of the slices,thereby improving resource utilization.For bandwidth allocation on the 5G base station side,the derived slice adjustment factor can be used to guide the actual solution.In particular,this solution is very suitable for implementation in communication scenarios that include symbiotic service streams,such as video calls or any dual-track video and audio services.In addition,the simulation research part shows that the designed random compensation scheme can support a variety of services with different random characteristics.The main limitation of this scheme is that when the traffic becomes very sudden or the delay requirement is too strict,the random compensation service will consume too much bandwidth resources,which means that the performance of the scheme will decrease.Because in this case,the random compensation probability and the random compensation bandwidth are too large,this is not a typical use case of the program.Although the proposed scheme is simple,it can be used as a starting point to understand the practical application of random compensation scheme and provide support for heterogeneous service transmission.