Regularized Zero Forcing Beamforming for Serving More Users in Energy-Harvesting Enabled Networks

This paper considers energy-harvesting (EH) enabled networks, which serve more users by a lesser number of transmit antennas. By transmitting energy and information over different fractions of a time-slot, it employs conjugate beamforming (match filtering) to amplify the power of received signals for EH and regularized zero-forcing (RZF) beamforming to suppress the multi-user interference for information decoding (ID), maintaining the computational efficiency in the beamforming design. The problem of max-min users' information throughput optimization subject to EH constraints is addressed by a path-following algorithm, which solves a simple convex quadratic problem at each iteration to generate a better feasible point. A similar optimization problem for the simultaneous wireless information and power transfer (SWIPT) is also addressed. The provided simulations show the advantage of the former over the latter.