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Sustainable Resource Allocation and Base Station Optimization Using
This paper proposes two models for enhancing QoS through efficient and sustainable resource allocation and optimization of base stations. The first model, a Hybrid Quantum Deep
Multi-objective cooperative optimization of communication base station
This paper develops a method to consider the multi-objective cooperative optimization operation of 5G communication base stations and Active Distribution Network (ADN) and constructs
Joint Load Control and Energy Sharing Method for 5G Green Base
Therefore, considering the time-sharing price of power grid, this paper proposes the optimal energy sharing scheduling and load control method of 5G base station cluster with mixed
Optimal energy-saving operation strategy of 5G base station with
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching and
Base station power control strategy in ultra-dense networks via deep
To enhance system efficiency and establish green wireless communication systems, this paper investigates base station sleeping and power allocation strategy based on deep reinforcement
ITU-T Work Programme
In the context of global low-carbon development and rapid development of information and communication infrastructure, the green development of base station site is crucial. Energy
Toward Green Network: An Expanding of Base Station Energy-Saving
In this article, a robust RL-based multicells sleeping model called graph deep deterministic policy gradient (GDDPG) is developed for handling highly complex communication scenarios. Besides, we
Optimization Control Strategy for Base Stations Based on
Therefore, in response to the impact of communication load rate on the load of 5G base stations, this paper proposes a base station energy storage auxiliary power grid peak shaving method based on
Energy-efficiency schemes for base stations in 5G
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 both
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