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
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
In order to find a better model of energy saving for 5G base stations to reduce energy consumption, this paper proposes an intelligent energy saving strategy re
Aiming at minimizing the base station (BS) energy consumption under low and medium load scenarios, the 3GPP recently completed a Release 18 study on energy savi
5G requires less signaling and transmits the same data faster, >10 times more energy efficient per gigabyte compared to 4G. Read how Optus in Australia created an energy efficient network
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
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
To reduce reliance on the traditional carbon-intensive grid, the authors advocate incorporating renewable energy sources like solar and wind power into the 5G infrastructure.
In response to the requirement of an intelligent and self-adaptive energy saving solution, artificial intelligence (AI) and big data technology are introduced to form a more precise energy saving
In a test environment with three 5G base stations and 70 EVs, the method reduced the time-averaged electricity cost for base stations by over 10% compared to conventional approaches.
Renewable energy sources such as solar and wind play a significant role in powering energy-efficient 5G base stations. Integration of smart technologies like AI and IoT can
In order to find a better model of energy saving for 5G base stations to reduce energy consumption, this paper proposes an intelligent energy saving strategy re
Further, this research is accelerated in order to bring about the best possible (optimal) cost for the system by adopting a range of optimization approaches namely particle
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