Energies · 2019 · 46 citations · 25 references
Wireless CommunicationsEngineeringMicrowave TransmissionMetasurfacesMetamaterialsElectromagnetic MetamaterialsPrototype MetasurfaceReconfigurable Intelligent SurfacesNano CommunicationsPhotonicsElectrical EngineeringWireless Power TransmissionOptical AntennasNovel Coding MetasurfacePower Transfer EfficiencyApplied PhysicsDynamic MetamaterialsWireless Power TransferBeamformingRandom Phase Control
The metasurface’s unit cells have two states, ON/OFF, corresponding to 0/1 coding via a PIN diode. The study proposes a 1‑bit coding metasurface and an adaptive phase‑control scheme to focus and steer EM beams for improved wireless power transfer. The metasurface consists of 16×16 fractal unit cells operating at 5.8 GHz, each with a PIN diode that switches between two 180°‑phase states, and a prototype was fabricated and measured. Measurements show the metasurface can focus beams in desired directions, and the adaptive optimal phase control outperforms random phase and beam‑synthesis schemes.
We propose and implement a novel 1-bit coding metasurface that is capable of focusing and steering beam for enhancing power transfer efficiency of the electromagnetic (EM) wave-based wireless power transfer systems. The proposed metasurface comprises 16 × 16 unit cells which are designed with a fractal structure and the operating frequency of 5.8 GHz. One PIN diode is incorporated within each unit cell and enables two states with 180 ° phase change of the reflected signal at the unit cell. The two states of the unit cell correspond to the ON and OFF states of the PIN diode or “0” and “1” coding in the metasurface. By appropriately handling the ON/OFF states of the coding metasurface, we can control the reflected EM wave impinged on the metasurface. To verify the working ability of the coding metasurface, a prototype metasurface with a control board has been fabricated and measured. The results showed that the coding metasurface is capable of focusing beam to desired direction. For practical scenarios, we propose an adaptive optimal phase control scheme for focusing the beam to a mobile target. Furthermore, we prove that the proposed adaptive optimal phase control scheme outperforms the random phase control and beam synthesis schemes.
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