Analysis of energy harvesting in SWIPT using bio-inspired algorithms

In this paper, we consider a power splitting (PS)-based simultaneous wireless information and power transfer (SWIPT) system, which is having I and Q (in-phase and quadrature) imbalance hardware impairment. The prime objective of this paper is to maximize the harvested energy for a SWIPT PS system, satisfying a minimum signal to noise ratio (SNR) requirement for information signal processing in the presence of IQ imbalance hardware impairment. The paper uses four types of bio-inspired algorithms like Particle Swarm Optimisation, Artificial Bee Colony, Firefly Algorithm and Invasive Weed Optimisation to attain the maximum harvested energy considering parameters of PS ratio, amplitude and phase imbalances in a Rayleigh fading environment. The simulation results show that under ideal power conversion efficiency and minimum hardware impairments, a maximum SNR of 16.7 dB and harvested energy of 11 dB is achieved for a transmit power of 20 dB in SWIPT systems for IWO bio-inspired algorithms in the 32 QAM modulation scheme.

Automated summary

This paper explores a power splitting-based simultaneous wireless information and power transfer system with I and Q imbalance hardware impairment. It aims to maximize the harvested energy while ensuring a minimum signal to noise ratio requirement. The paper utilizes bio-inspired algorithms to achieve optimal energy harvesting considering various parameters in a fading environment. Simulation results demonstrate promising performance in terms of signal to noise ratio and harvested energy.