Wireless Powered Communications: Performance Analysis and Optimization
Caijun Zhong, Xiaoming Chen, Zhaoyang Zhang, and George Karagiannidis

TL;DR
This paper analyzes the average throughput of wireless powered communication systems with multiple antennas, deriving analytical expressions and optimizing the time split for energy harvesting and data transmission under Nakagami-m fading.
Contribution
It provides new analytical models for throughput, closed-form solutions for optimal time split, and insights into the effects of antennas, interference, and fading on system performance.
Findings
Increasing the number of PB antennas improves throughput.
Interference can be exploited to enhance energy harvesting.
Fading severity has limited impact with many antennas.
Abstract
This paper investigates the average throughput of a wireless powered communications system, where an energy constrained source, powered by a dedicated power beacon (PB), communicates with a destination. It is assumed that the PB is capable of performing channel estimation, digital beamforming, and spectrum sensing as a communication device. Considering a time splitting approach, the source first harvests energy from the PB equipped with multiple antennas, and then transmits information to the destination. Assuming Nakagami-m fading channels, analytical expressions for the average throughput are derived for two different transmission modes, namely, delay tolerant and delay intolerant. In addition, closed-form solutions for the optimal time split, which maximize the average throughput are obtained in some special cases, i.e., high transmit power regime and large number of antennas.…
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