Research On Magnetic Coupled Resonant Simultaneous Wireless Information And Power Transmission Network And Relay Selection Strategy

Magnetically Coupled Resonant Simultaneous Wireless Information and Power Transfer(MCR-SWIPT)technology can transmit effective information while realizing power transmission.However,with the increase of charging devices,the one-to-one wireless energy-carrying communication transmission scheme cannot meet the needs of regional coverage,and the change of the resonance state will affect the energy transmission efficiency and information transmission stability.Therefore,how to design an efficient and flexible multi-transmitting and receiving wireless information and energy cooperative transmission system,and make it able to maintain a stable output of the system in a dynamically changing environment,has become a key problem to be solved in the current wireless energy-carrying communication technology.This paper focuses on the optimization research on the transmission performance and relay node selection of the multi-transceiver MCR-SWIPT system.The main research work and innovations are as follows:1.Design and analysis of magnetic resonance coupling wireless energy-carrying communication transmission networkIn order to realize efficient and stable wireless energy-carrying communication transmission,it is proposed to use LCL type primary-side resonance compensation network to improve the stability of energy transmission,and to adopt phase modulation and demodulation based on energy signal as the realization method of energy and information coordinated transmission.Software simulation verifies that the scheme modulates and demodulates the communication signal correctly without affecting the energy transmission.In order to realize the regional coverage of wireless energy-carrying communication transmission,on the basis of the established communication model,multiple relay nodes are added,the system transmission characteristics before and after joining are analyzed,and a networked wireless energy-carrying communication transmission system is designed.The link between the status of the relay node and the transmission performance.2.Design of relay selection logic and analysis of relay network selection algorithmThe change of the load and the change of the charging state and the relative position of the charging equipment will affect the coupling state between the multiple coils.In order to make the system have dynamic adaptability under the premise of reducing the change of component parameters as much as possible,it is proposed to add a switch on the relay resonator.The relay node state is selected by the Microcontroller Unit(MCU),the above process is modeled as a Markov decision model,and the deep reinforcement learning algorithm is used to solve the optimization problem.After simulation verification,under the same system parameters,Compared with the traditional random selection algorithm and heuristic algorithm,the relay selection strategy based on deep reinforcement learning makes the system have higher energy transmission efficiency and lower information error rate.Finally,an experimental platform for wireless energy-carrying information transmission system is built.