Performance Analysis of Priority-Aware DRL-based Call Admission Control for 5G Network

Abstract

Network slicing is an enabling technology of fifth-generation (5G) mobile networks that enables several autonomous logical networks to exist on a common physical infrastructure. One key issue of the paradigm is the admission control mechanism which slice requests are accepted to achieve the best performance of the system and still ensure quality-of-service (QoS) guarantees. In this paper, the authors provide a comparative study of the current methods of admission control and introduce a new approach, Priority-Aware Deep Q-Network with Dynamic Threshold Adaptation (PA-DQN-DTA). Our method (as opposed to the traditional methods which tie admission control to resource allocation) addresses intelligent admission decisions only. The suggested scheme uses inter-slice and intra-slice priorities via a mathematically defined admission probability functional. The outcomes of simulation in four assessment scenarios show that parameter calibration is of the essence: the balanced configuration reaches acceptance ratios of 11.812.9, and QoE in all scenarios is above 98.8%. Besides, this paper presents an in-depth analysis of parameter tuning and describes the space of tradeoffs between the acceptance ratio, the QoE preservation, and the resource usage. Concrete recommendations are made and implications to the realistic 5G deployment are discussed.