Open AccessPerformance Analysis of SWIPT System with Imperfect Channel State Information
Author(s) -
Chenxi Zhang,
Chao Meng,
Yu Yang,
Yan Gao
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2171/1/012046
Subject(s) - computer science , channel (broadcasting) , convex optimization , maximum power transfer theorem , transmission (telecommunications) , channel state information , mathematical optimization , energy harvesting , energy (signal processing) , information transfer , optimization problem , wireless , perfect information , electronic engineering , power (physics) , telecommunications , algorithm , regular polygon , mathematics , engineering , statistics , physics , geometry , quantum mechanics , mathematical economics
This paper studies the system performance of the multiple-input-single-output (MISO) system using simultaneous wireless information and power transfer (SWIPT) technology under imperfect channel state information. A power split strategy is used in the receiver, which divides the received radio frequency (RF) signal into two parts, one part is directly used for signal decoding, and the other part is used as energy harvesting. This paper studies the optimization of system channel capacity under the constraints of harvested energy and the transmission rate. The resulting optimization problem is a two-layer non-convex optimization one, which is simplified by Cauchy-Schwarz inequality. Through the linear search of the energy division ratio in its value range, it becomes a one-dimensional optimization problem only related to the transmission power, which can be solved by CVX. The simulation results verify the effectiveness of the algorithm.