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Wireless Power Transfer Techniques for 6G Communication
Abstract
This chapter examines robust beamforming to increase power economy and reliability in magnetic-based wireless power transfer with many transmitters and receivers while accounting for MII imperfection. Transfer learning saves energy and improves efficiency in wireless communications by learning from prior tasks using correlation and similarity information. Since CSI procurement takes energy, its benefits gradually drop as power driven gadgets increase, yet spread. With system stability, channel state information techniques expand power insurance. ISWPT's integrated operation decreases system size, hardware cost, power consumption, and spectrum, enabling 6G wireless networks. Reconfigurable intelligent surfaces in wireless power transfer systems and designs can optimize energy efficiency by addressing multi-user circumstances and power distribution. Using simultaneous lightwave information and power transfer to combine EH and data transmission is fascinating and matures efficiency.
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