Summary
International Conference on Emerging Technologies for Communications
2023
Session Number:P3
Session:
Number:P3-20
Power Management Architecture for Mobile-System Base Stations Utilizing Pedestrian Flow Analytics and Non-Terrestrial Networks
Takaya Miyazawa, Kentaro Ishizu, Hitoshi Asaeda, Hiroyuki Tsuji, Hiroaki Harai,
pp.-
Publication Date:2023/11/29
Online ISSN:2188-5079
Summary:
Power consumption of base stations (BSs) in radio access networks (RANs) is a serious issue due to the recent increase of service types such as 4G-LTE, 5G, and local 5G, and it will be more remarkable in Beyond 5G/6G era. To address this issue, we propose a power management architecture for Open RAN (O-RAN) BSs to realize the BS power-on/-off control utilizing AI-supported pedestrian flow analytics and non-terrestrial networks (NTN). We quantitatively evaluate the power-saving effect obtained by our proposed architecture, and consequently, we prove that our proposed management architecture can highly contribute to energy-saving for RANs.