QoS-Aware High Throughput Scheduling for Wireless Networks

Abstract

This paper seems on the challenge of providing first-class-of-provider (quality of service) conscious throughput scheduling for wireless networks. It starts by presenting an outline of the present-day scheduling techniques used to help wireless networks, where the point of interest is maximizing spectral efficiency. It then seems at a way to design scheduling algorithms to recall the quality of service constraints. Specifically, it looks at how strategies, price management, adaptive modulation coding, and channel and interference prediction may be utilized to make specific QoS-aware scheduling. Subsequently, how artificial intelligence may be used to aid in designing quality of service-conscious scheduling algorithms and how machines gain knowledge of-based strategies consisting of deep reinforcement getting to know may be used in this context. Sooner or later, the paper presents a QoS-conscious scheduling set of rules that combines present scheduling techniques and considers the restrictions earlier than presenting an evaluation of the efficacy of this technique.