Optimization of Power Transfer Efficiency and Energy Efficiency for Wireless-Powered Systems with Massive MIMO
Talha Ahmed Khan, Ali Yazdan, Robert W. Heath Jr
TL;DR
This paper analyzes and optimizes power transfer and energy efficiency in wireless-powered massive MIMO systems, considering practical nonlinear energy harvesters and deriving optimal system parameters for enhanced energy performance.
Contribution
It introduces a scalable model for power transfer efficiency and derives optimal antenna and user configurations for maximizing energy efficiency in massive MIMO systems.
Findings
Optimal number of antennas and users for maximum PTE.
Energy efficiency increases with transmit power in large antenna regimes.
Operating in the massive antenna regime is energy efficient.
Abstract
Massive MIMO is attractive for wireless information and energy transfer due to its ability to focus energy towards desired spatial locations. In this paper, the overall power transfer efficiency (PTE) and the energy efficiency (EE) of a wireless-powered massive MIMO system is investigated where a multi-antenna base-station (BS) uses wireless energy transfer to charge single-antenna energy harvesting users on the downlink. The users may exploit the harvested energy to transmit information to the BS on the uplink. The overall system performance is analyzed while accounting for the nonlinear nature of practical energy harvesters. First, for wireless energy transfer, the PTE is characterized using a scalable model for the BS circuit power consumption. The PTE-optimal number of BS antennas and users are derived. Then, for wireless energy and information transfer, the EE performance is…
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