To address the issue of power-intensive base stations, proposed a combined approach involving base station sleep and spectrum allocation. This approach aims to discover the most efficient operating state and spectrum allocation for SBS to minimize power consumption and network disturbance.
Enterprise-level radio access network (RAN) with the 3GPP standard spectrum. Leverages eco-system to meet the requirements of low latency and multi-terminal access in the electric power industry, and isolate data of different electric power services and networks of different security zones.
The results show that the proposed method has more active base stations than the method in in all the scenarios, because this paper proposes a solution to ensures the minimum data rate for a larger number of users, resulting in a reduced number of base stations that need to be shut down.
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.
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