2023•Unpublished venueRequires access

Energy Optimization of a Base Station using Q-learning Algorithm

Anisha Aggarwal, Dharmaraja Selvamuthu

Abstract

A sleep strategy with several sleep mode (SM) levels for energy-efficient 5G base stations (BS) is proposed to reduce energy consumption. Energy consumption and Quality of Service (QoS) management are paired as a result of awakening sleeping BSs. Advanced Sleep Modes (ASMs) gradually deactivate BS components to save energy. Based on component transition times (deactivation and activation), different SM levels could be considered. This research proposes a Q-learning based approach for ASMs to present an optimal tradeoff between energy consumption and QoS.

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Available abstract

Key concepts: Energy consumption, Sleep mode, Quality of service, Base station, Computer science, Energy (signal processing), Sleep (system call), Algorithm