A Random Compensation Scheme for 5G Slicing Under Statistical Delay-QoS Constraints

Xuefen Chi,Yihang Jing,Baozhu Yu,Hongliang Sun

doi:10.1109/access.2020.3033321

Abstract

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. 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.

Highlights

The fifth generation (5G) cellular networks promise to carry a greater number of terminals and support more types of services
The queue overflow probabilities are almost all below corresponding threshold ( 10−3 ), which indicates that the random compensation slicing scheme works well
The traffic with different characteristics will be studied in the performance evaluation part in which the diversified 5G businesses are served by the random compensation scheme

Summary

Introduction

The fifth generation (5G) cellular networks promise to carry a greater number of terminals and support more types of services. The MIoT scenario contains a large number of devices with high density in space. These services possess different quality of service (QoS) requirements. The network slicing has been considered as the most effective 5G core technology to provide customized QoS provisioning for heterogeneous services. The network slices may differ from supported features of the Slice/Service Type and network functions optimization. Orienting a new feature of the committed service, delivering the dedicated 5G QoS flow requires to deploy a separate network slice. In terms of the objective functions for QoS provisioning optimization, to maximize slice service rate and/or minimize delay, the slices are classified as follows: delay constrained slice, rate constrained slice, delay and rate constrained slice, and delay and rate non-constrained slice [2]. In the actual slicing scenarios, the allocation of resource blocks (RBs) could be implemented by softwaredefined networking and virtualized network functions [3]

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Results

Conclusion