Research On Radio Frequency Energy Harvesting Technology And Its Application

The proposal and development of green wireless communication provide a useful idea for the efficient use of energy and the efficient control of carbon emission. As one of the important strategies of green wireless communication network, the RF energy harvesting technology makes use of renewable energy in the surrounding environment more effectively and reduces dependence on traditional energy sources such as oil, so that makes it possible of using the own power supply of the system to maintenance the operation of the system. For radio frequency energy harvesting technology,this thesis studies the following three aspects:Firstly, we introduce the technical background of RF energy harvesting technology in detail, and two key fields of RF energy harvesting technology: simultaneous wireless information and power transfer (SWIPT)technology and wireless powered communication network (WPCN) are introduced in detail. In addition, the hardware development of RF energy harvesting technology is briefly introduced, including the existing practical products, some circuit design fields of RF energy harvesting technology,such as antenna design, rectification design and impedance matching circuit design.Secondly, we study the optimal operation strategy of receiver in the MU-SISO interference network based on SWIPT technology when using the time switching scheme and the power splitting scheme. The Rate-Energy regions of the two schemes are obtained by simulation and compared with the Rate-Energy regions in non-interference network. Then,we compare the Rate-Energy regions of the two schemes under three different interference intensities in multi-user interference network, and show the affect of interference intensity on the Rate-Energy regions of the two schemes.Thirdly, we study the joint design of beamformers of source node and relay node in full-duplex relay-based wireless network. By designing the beamforming vectors of the source node and the relay node, the self-interference signal of the relay node can be eliminated and the energy collection efficiency of the source node can be increased thus improve the system performance. Simulation results show that, comparing with the traditional method, the proposed network can nearly double the spectral efficiency.