Towards Integrated Energy-Communication-Transportation Hub: A Base-Station-Centric Design in 5G and Beyond
Linfeng Shen, Guanzhen Wu, Cong Zhang, Xiaoyi Fan, Jiangchuan Liu

TL;DR
This paper proposes an integrated energy-communication-transportation hub model leveraging 5G base stations as service centers, utilizing batteries and renewable energy to optimize EV charging and reduce operational costs.
Contribution
It introduces a novel model combining base station energy management with EV charging, employing deep reinforcement learning for battery scheduling in a smart ECT infrastructure.
Findings
Effective energy utilization through the ECT-Hub model
Reduced operating costs via optimized EV charging
Demonstrated revenue potential from EV charging services
Abstract
The rise of 5G communication has transformed the telecom industry for critical applications. With the widespread deployment of 5G base stations comes a significant concern about energy consumption. Key industrial players have recently shown strong interest in incorporating energy storage systems to store excess energy during off-peak hours, reducing costs and participating in demand response. The fast development of batteries opens up new possibilities, such as the transportation area. An effective method is needed to maximize base station battery utilization and reduce operating costs. In this trend towards next-generation smart and integrated energy-communication-transportation (ECT) infrastructure, base stations are believed to play a key role as service hubs. By exploring the overlap between base station distribution and electric vehicle charging infrastructure, we demonstrate the…
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