Energy-saving control strategy for ultra-dense network base
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
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 Control Strategy for 5G Base Station Virtual Battery
Aiming at this issue, an interactive hybrid control mode between energy storage and the power system under the base station sleep control strategy is delved into in this paper.
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
Energy-efficiency schemes for base stations in 5G heterogeneous
EE solutions have been segregated into five primary categories: base station hardware components, sleep mode strategies, radio transmission mechanisms, network deployment and
Day-ahead collaborative regulation method for 5G base stations
Abstract: Optimizing energy consumption and aggregating energy storage capacity can alleviate 5G base station (BS) operation cost, ensure power supply reliability, and provide
Synergetic renewable generation allocation and 5G base station
To tackle this issue, this paper proposes a synergetic planning framework for renewable energy generation (REG) and 5G BS allocation to support decarbonizing
Dynamic Hierarchical Reinforcement Learning Framework for
These findings highlight the effectiveness and superiority of our hierarchical RL optimization framework in addressing the energy consumption challenges faced by large-scale
Threshold-based 5G NR base station management for energy
Simulations conducted on a realistic multi-technology 5G New Radio (NR) RAN in an urban environment validate the efficacy of the proposed strategy, achieving up to 73% of
Cooperative Planning of Distributed Renewable Energy Assisted
Numerical results and comparison analysis reveal how the integration of RES generations and BSW systems benefit 5G BS in expense cutting and RES accommodating. The surging
Energy-saving control strategy for ultra-dense network base stations
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
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
Dynamic Hierarchical Reinforcement Learning Framework for Energy
These findings highlight the effectiveness and superiority of our hierarchical RL optimization framework in addressing the energy consumption challenges faced by large-scale
Cooperative Planning of Distributed Renewable Energy Assisted 5G Base
Numerical results and comparison analysis reveal how the integration of RES generations and BSW systems benefit 5G BS in expense cutting and RES accommodating. The surging
Energy-saving control strategy for ultra-dense network base stations
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
Cooperative Planning of Distributed Renewable Energy Assisted 5G Base
Numerical results and comparison analysis reveal how the integration of RES generations and BSW systems benefit 5G BS in expense cutting and RES accommodating. The surging
Solar Container Energy Discussion
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