End-network collaborative energy consumption optimization method, system, equipment and medium

The invention provides an end-network collaborative energy consumption optimization method, system and device and a medium. The method comprises the following steps: acquiring end network state information of a current period according to work parameter information and state information of each base station in a previous period, position information of each terminal in the previous period, coverage state information of each grid in a deployment area in the previous period and historical user information of each grid; inputting the end network state information into the optimization model to obtain a target deployment strategy with optimal end network energy consumption; carrying out collaborative optimization deployment on each base station according to the target deployment strategy; the optimization model is obtained by performing multi-agent near-end strategy optimization training on the reinforcement learning model according to sample data circularly obtained from the experience pool. According to the inv