Hybrid-boosted model with an approach inspired by a mixture of
This study introduces a hybrid-boosted ensemble model tailored for predicting energy utilization in 5G base stations. The methodology merges ridge regression for linear trend analysis,
Hybrid Control Strategy for 5G Base Station Virtual Battery
Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling
Multi-objective capacity optimization configuration strategy for
In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas i
Hybrid quantum-classical stochastic programming for co-planning 5G base
In the first stage, warm-start quantum annealing is employed to determine BS deployment locations and capacities. In the second stage, data envelopment analysis (DEA) is
Energy-efficient indoor hybrid deployment strategy for 5G mobile
Within this model, we leverage the flexibility of mobile small-cell base stations (MSBS) to seamlessly traverse service regions. We compute the transmission power and
Energy-efficiency schemes for base stations in 5G heterogeneous
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
Hybrid Energy Metering 5G Base Station
In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas is proposed.
Multi-objective cooperative optimization of communication
Based on this, a multi-objective cooperative optimization 5G communication base station operating model and active distribution network considering the system operation economy
Multi-objective capacity optimization configuration strategy for hybrid
In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas i
Coordinated scheduling of 5G base station energy storage for
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES
Coordinated scheduling of 5G base station energy
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution
Hybrid quantum-classical stochastic programming
In the first stage, warm-start quantum annealing is employed to determine BS deployment locations and capacities. In the second
On hybrid energy utilization for harvesting base station in 5G
In this paper, hybrid energy utilization was studied for the base station in a 5G network. To minimize AC power usage from the hybrid energy system and minimize solar