Maximum throughput optimization method in NOMA (Non-Orthogonal Multiple Access) system assisted by intelligent reflecting surface

The invention belongs to the technical field of wireless communication, and particularly relates to a maximum throughput optimization method in an NOMA system assisted by an intelligent reflecting surface, which is suitable for a wireless power supply sensor network system comprising a power station, an intelligent reflecting surface, an intelligent reflecting surface controller, K Internet of Things users and an access point, and all devices are provided with single antennas. The K Internet of Things devices firstly collect energy radiated by a power station, then transmit personal information to an access point by using the collected energy, and at the same time, the intelligent reflecting surface enhances the energy collection and data transmission capability of the system by reflecting the energy and the information; the maximum throughput is obtained by jointly optimizing time distribution of transmission energy and signals and phase shift of an intelligent reflecting surface, and the performance of the