Energy-efficient resource allocation for backscatter communications

• Main Author: Lum, Hui Tian
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://eprints.utar.edu.my/6438/1/EC_1902850_Final_report_%2D_HUI_TIAN_LUM.pdf; http://eprints.utar.edu.my/6438/

Wireless-powered backscatter communication (WP-BC) networks have emerged as a low-power technology for supporting massive Internet of Things. Backscatter networks are environmentally friendly and low power communication systems. In WP-BC networks, backscatter transmitters modulate the information received from the power beacon (PB) and reflect the modulated signals to the intended backscatter receivers in radio frequency (RF) signals without external power consumption. To jointly optimize the transmit power from the PB and reflection coefficient of the backscatter transmitter, an interference-aware resource allocation scheme that aims to fairly maximize the individual energy efficiency performance of the backscatter devices in WP-BC networks is proposed. In this scheme, a nonconvex joint reflection coefficient and transmit power allocation optimization problem that maximizes a proportional utility function of energy efficiency is formulated subject to energy-harvesting constraints. A new resource allocation algorithm based on a swarm intelligence approach is developed for the problem. The simulation results have verified that the proposed scheme has outperforms the baseline schemes in terms of energy efficiency and Jain’s fairness index.