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Wireless power transfer via radio-frequency (RF) radiation is regarded as apotential solution to energize energy-constrained users, who are deployed closeto the base stations (near-by users). However, energy transfer requires muchmore transmit power than normal information transfer, which makes it verychallenging to provide the quality of service in terms of throughput for allnear-by users and cell-edge users. Thus, it is of practical interest to employnon-orthogonal multiple access (NOMA) to improve the throughput of all networkusers, while fulfilling the energy harvesting requirements of the near-byusers. To realize both energy harvesting and information decoding, we considera transmit time-switching (transmit-TS) protocol. We formulate two importantbeamfoming problems of users' max-min throughput optimization and energyefficiency maximization under power constraint and energy harvesting thresholdsat the nearly-located users. For these problems, the optimization objective andenergy harvesting are non-convex in beamforming vectors. Thus, we developefficient path-following algorithms to solve them. In addition, we alsoconsider conventional power splitting (PS)-based energy harvesting receiver.Our numerical results confirm that the proposed transmit-TS based algorithmsclearly outperform PS-based algorithms in terms of both, throughput and energyefficiency.

NOMA for throughput and EE maximization in Energy Harvesting Enabled Networks