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Extremely large-scale array (XL-array) has emerged as a promising technologyto enhance the spectrum efficiency and spatial resolution in future wirelessnetworks, leading to a fundamental paradigm shift from conventional far-fieldcommunications towards the new near-field communications. Different from theexisting works that mostly considered simultaneous wireless information andpower transfer (SWIPT) in the far field, we consider in this paper a new andpractical scenario, called mixed near- and far-field SWIPT, in which energyharvesting (EH) and information decoding (ID) receivers are located in thenear- and far-field regions of the XL-array base station (BS), respectively.Specifically, we formulate an optimization problem to maximize the weightedsum-power harvested at all EH receivers by jointly designing the BS beamscheduling and power allocation, under the constraints on the ID sum-rate andBS transmit power. To solve this nonconvex optimization problem, an efficientalgorithm is proposed to obtain a suboptimal solution by leveraging the binaryvariable elimination and successive convex approximation methods. Numericalresults demonstrate that our proposed joint design achieves substantialperformance gain over other benchmark schemes.

Joint Beam Scheduling and Power Allocation for SWIPT in Mixed Near- and Far-Field Channels