Sustainable Resource Allocation and Base Station Optimization
This paper proposes two models for enhancing QoS through efficient and sustainable resource allocation and optimization of base stations. The first model, a Hybrid
Sustainable Resource Allocation and Base Station
This paper proposes two models for enhancing QoS through efficient and sustainable resource allocation and optimization of base
Energy Management for a New Power System Configuration of Base
Generating electricity from renewable energy sources gives consumers greater assurance that their electricity is environmentally friendly. However, the random nature of
Energy Management for a New Power System
Generating electricity from renewable energy sources gives consumers greater assurance that their electricity is environmentally
Improved Model of Base Station Power System for the Optimal
The optimization of PV and ESS setup according to local conditions has a direct impact on the economic and ecological benefits of the base station power system. An
Energy performance of off-grid green cellular base stations
Therefore, this paper develops a diffusion-based modelling framework for solar-powered green off-grid base station sites. We apply this framework to evaluate the energy
Provisioning for Solar-Powered Base Stations Driven by
This paper introduces the Cond-LSTM model, designed to achieve more precise predictions, particularly benefiting macro base stations, which consume significantly more energy than
Aerial Base Stations: Practical Considerations for Power
Our findings indicate that FWDs have longer service times and HAPs have energy harvested-to-consumption ratios greater than one, indicating theoretically infinite service time, especially
Power Base Stations Testing Standards: Ensuring Reliability in
As we stand at this technological crossroads, one must wonder: Will tomorrow''s power base stations self-validate through digital twins before humans even detect anomalies?
Hybrid load prediction model of 5G base station based on time
To ensure the safe and stable operation of 5G base stations, it is essential to accurately predict their power load. However, current short‐term prediction methods are rarely
A Predictive Energy Saving Technique for 5G Network Base Stations
In this chapter, we have studied the recent advancement in 5G applications using machine learning, then a model is proposed for predicting the data traffic in base station by
Mobile base station site as a virtual power plant for grid stability
Our objective is to demonstrate that mobile operators could use their existing infrastructure to participate in the reserve market of a contemporary power grid. Furthermore,
A Predictive Energy Saving Technique for 5G Network Base
In this chapter, we have studied the recent advancement in 5G applications using machine learning, then a model is proposed for predicting the data traffic in base station by