To incorporate practical factors in base station sleep, studied the system energy consumption and grade of service under three base station sleep schemes and proposed an analytical method with high robustness, scalability, and computational efficiency to evaluate the grade of service index.
This is because this paper proposes a base station sleep strategy that directly impacts EE and enhances the ratio of the overall system transmission rate to power consumption. In the final EE results are better than the other two methods.
Each SBS n is considered an agent, and each agent can make decisions based on the surrounding environment to get the reward value for the next round of exploration. In this paper, the base station sleep and power allocation are two closely related mechanisms that jointly optimize the resource management of SBSs through DQN.
The idea of shutting down components of a radio BS is already present in 4G. Micro-discontinuous transmission (μDTX) was used in LTE as an energy saving scheme on the radio BS side .
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Therefore, energy management methodologies at RAN are required. Many methodologies like symbol shut down, carrier shutdown, deep sleep etc., have been reported …
When the service volume of the entire Base Station (BS) is low during off-peak hours at night the BS energy consumption can be reduced by retaining only the coverage …
Energy Conservation through Site Optimization for Mobile Cellular Systems (Base Transceivers Station Optimization). Epistemics in Science, Engineering and Technology, 2(1), …
By selectively shutting down AAU modules when the communication load is low, base stations can achieve significant energy savings without compromising user service quality.
Base Station Energy Efficiency: Key Strategies for Sustainable Networks In today’s hyper-connected world, the demand for mobile data and wireless communication …
According to the system and method flow for calculating the energy saving of the main communication device and selecting the energy saving method, the performance …
The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose …
China built enough energy storage capacity to power 20 million homes in 2024, yet 6.1% of these systems are essentially taking a permanent nap [1]. The global energy …
The adverse impact of sleep mode for the base station to save energy, which makes possibility of active base station having low traffic loads and decreased noise decibels to get off …
However, the deployment of numerous small cells results in a linear increase in energy consumption in wireless communication systems. To enhance system efficiency and …
The adverse impact of sleep mode for the base station to save energy, which makes possibility of active base station having low traffic loads and …
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