Sep 30, 2024 · The analysis results of the example show that participation in grid-side dispatching through the flexible response capability of 5G communication base stations can enhance the
Aug 23, 2019 · Energy-Efficient Base Station Deployment in Heterogeneous Communication Network Published in: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing,
Sep 30, 2024 · Multi-objective cooperative optimization of communication base station and active distribution grid under dual carbon targets | Science and Technology for Energy Transition
Oct 20, 2022 · This paper proposes a real-time demand response model based on master-slave game considering profit maximization. The optimal day-ahead scheduling of energy storage
May 19, 2025 · The rapid deployment and widespread adoption of 5G networks have rendered the energy consumption and carbon emissions of base stations increasingly prominent, posing a
Oct 29, 2024 · Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Oct 1, 2024 · As the proportion of renewable energy infiltrating the power grid increases, suppressing its randomness and volatility, reducing its impact on the safe operation of the
Oct 1, 2021 · In this study, the idle space of the base station''s energy storage is used to stabilize the photovoltaic output, and a photovoltaic storage system microgrid of a 5G base station is
Dec 1, 2023 · The growing penetration of 5G base stations (5G BSs) is posing a severe challenge to efficient and sustainable operation of power distribution systems (PDS) due to their huge
Sep 1, 2024 · In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G
Jul 25, 2016 · Based on green energy prediction and storage, a novel green base station GBS offloading model is proposed and can be employed with multiple objectives in this paper to
The 5G communication base station can be regarded as a power consumption system that integrates communication, power, and temperature coupling, which is composed of three major pieces of equipment: the communication system, energy storage system, and temperature control system.
Furthermore, the effect of peak shifting is significantly enhanced with an increase in the scale of scheduling participation. The hybrid control strategy for base stations enables the effective utilization of the differing power reserve and temperature regulation resulting from the varying communication loads of base stations.
Overall, 5G communication base stations’ energy consumption comprises static and dynamic power consumption . Among them, static power consumption pertains to the reduction in energy required in 5G communication base stations that remains constant regardless of service load or output transmission power.
Given the significant increase in electricity consumption in 5G networks, which contradicts the concept of communication operators building green communication networks, the current research focus on 5G base stations is mainly on energy-saving measures and their integration with optimized power grid operation.
In the above model, by encouraging 5G communication base stations to engage in Demand Response (DR), the Renewable Energy Sources (RES), and 5G communication base stations in ADN are concurrently scheduled, and the uncertainty of RES and communication load is described by using interval optimization method.
This paper considers the peak control of base station energy storage under multi-region conditions, with the 5G communication base station serving as the research object. Future work will extend the analysis to consider the uncertainty of different types of renewable energy sources’ output.
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