Title
Wireless-Powered Communications: Performance Analysis and Optimization
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. Finally, the impact of cochannel interference is studied. Numerical and simulation results have shown that increasing the number of transmit antennas at the PB is an effective tool to improve the average throughput and the interference can be potentially exploited to enhance the average throughput, since it can be utilized as an extra source of energy. Also, the impact of fading severity level of the energy transfer link on the average throughput is not significant, especially if the number of PB antennas is large. Finally, it is observed that the source position has a great impact on the average throughput.
Year
DOI
Venue
2015
10.1109/TCOMM.2015.2488640
IEEE Trans. Communications
Keywords
Field
DocType
Throughput,Wireless communication,Antennas,Interference,Delays,Fading channels
Beamforming,Wireless,Computer science,Fading,Communications system,Electronic engineering,Nakagami distribution,Interference (wave propagation),Throughput,Precoding
Journal
Volume
Issue
ISSN
63
12
0090-6778
Citations 
PageRank 
References 
29
0.89
30
Authors
4
Name
Order
Citations
PageRank
Caijun Zhong12007120.77
Xiaoming Chen230128.67
Z. Zhang32308198.54
George K. Karagiannidis45216362.34