@Article{cmc.2020.011018,
AUTHOR = {Xiaoye Shi, Jin Sun, Dongming Li, Fei Ding, Zhaowei Zhang},
TITLE = {Rate-Energy Tradeoff for Wireless Simultaneous Information and  Power Transfer in Full-Duplex and Half-Duplex Systems},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {2},
PAGES = {1373--1384},
URL = {http://www.techscience.com/cmc/v65n2/39881},
ISSN = {1546-2226},
ABSTRACT = {In this paper, we study the rate-energy tradeoff for wireless simultaneous information and power transfer in full-duplex and half-duplex scenarios. To this end, the 
weighting function of energy efficiency and transmission rate, as rate-energy tradeoff 
metric is first introduced and the metric optimization problem is formulated. Applying 
Karush-Kuhn-Tucker (KKT) conditions for Lagrangian optimality and a series of 
mathematical approximations, the metric optimization problem can be simplified. The 
closed-form solution of the power ratio is obtained, building direct relationship between 
power ratio and the rate-energy tradeoff metric. By choosing power ratio, one can make 
the tradeoff between information rate and harvested power in a straightforward and 
efficient way. Using the method similar to the half duplex systems, the optimal power 
ratio can be obtained in the full duplex systems, so as to balance the information 
transmission rate and energy transmission efficiency. Simulation results validate that the 
information rate is non-increasing with harvested power in half-duplex systems and the 
tradeoff of information rate and harvested power can be simply made. In the full duplex 
systems, the power ratio solution of the rate-energy tradeoff metric optimization problem 
can be used as the approximate optimal solution of the optimization problem and the 
approximation error is negligible.},
DOI = {10.32604/cmc.2020.011018}
}