The application discloses a
resource scheduling method and device and a storage medium, relates to the technical field of communication, and aims to solve the problem that a
general method cannot reasonably allocate resources. The method comprises the following steps: acquiring a plurality of historical state information corresponding to a plurality of base stations in a preset historical time period, then inputting the plurality of historical state information into a pre-trained target model to obtain a plurality of target state information corresponding to the plurality of base stations in a preset future time period. The target model is trained according to a plurality of sample state information. Subsequently, a
resource scheduling strategy is determined according to the plurality of target state information, and resources are scheduled to a first
base station requiring resources according to the
resource scheduling strategy.