What is it about?
This study proposes a coordinated method to manage energy and communication operations for 5G base stations and integrated energy systems (IES). It explores how these two critical infrastructures—5G networks and local energy systems—can collaborate in real time to improve efficiency, reliability, and sustainability. The paper introduces a feedback-based optimization strategy where 5G base stations dynamically adjust their operation based on the state of the surrounding energy network. In turn, the energy system adapts based on the power needs of the base stations. By integrating demand-side response (DSR) mechanisms and real-time data exchange, the method allows both systems to reach better coordination. This helps reduce power consumption peaks, improve renewable energy usage, and ensure reliable communication service.
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Why is it important?
As 5G deployment scales up globally, the energy consumption of dense base station networks is becoming a major concern. At the same time, integrated energy systems are evolving to become more intelligent and responsive. However, most current approaches treat energy and communication networks separately, missing out on the potential benefits of integration. This research bridges that gap by showing that with real-time coordination, 5G base stations can become energy-flexible participants in the grid. This not only improves power grid stability but also enables greener communication infrastructure. The method also enhances resilience during load fluctuations or grid constraints. In short, this work offers a timely, practical approach to reduce carbon footprints and operational costs in next-generation smart cities.
Perspectives
This paper is an exciting step toward the convergence of energy and communication networks. From the researcher's perspective, it highlights the untapped potential of turning 5G infrastructure into active energy players through smart coordination and real-time optimization. Moving forward, this approach could inspire wider frameworks that include electric vehicles, data centers, and other digital infrastructures in the energy-communication synergy. It aligns well with global goals for carbon neutrality and paves the way for a more sustainable digital future.
Chair, IEEE PES EICC Task Force on AI-Enabled Resilience of CPES | Clarivate HCR | AE: IEEE TSG/TSTE Yang Li
Northeast Electric Power University
Read the Original
This page is a summary of: System energy efficiency maximization-oriented clustering protocol design for active IRS-aided EH-CRSNs, Ad Hoc Networks, January 2026, Elsevier,
DOI: 10.1016/j.adhoc.2026.104148.
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