A Bounded Multi-Vacation Queue Model for Multi-stage Sleep Control 5G Base station

TL;DR

This paper introduces a bounded multi-vacation queue model for 5G base stations to optimize energy consumption and delay, demonstrating high accuracy and effective trade-offs under varying traffic loads.

Contribution

It proposes a novel queue model for energy and delay prediction in 5G systems and an optimization algorithm to minimize energy use without exceeding delay bounds.

Findings

Energy prediction error rate of 0.0177

Delay prediction error rate of 0.0655

Energy saving rate decreases with increased traffic load

Abstract

Modelling and control of energy consumption is an important problem in telecommunication systems.To model such systems, this paper publishes a bounded multi-vacation queue model. The energy consumption predicted by the model shows an average error rate of 0.0177 and the delay predicted by the model shows an average error rate of 0.0655 over 99 test instances.Subsequently, an optimization algorithm is proposed to minimize the energy consumption while not violate the delay bound. Furthermore, given current state of art 5G base station system configuration, numerical results shows that with the increase of traffic load, energy saving rate becomes less.