Backscatter Network

Backscatter networks leverage energy harvesting and ambient radio signals to enable communication in battery-free sensor networks, aiming to optimize resource allocation (energy, spectrum, latency) for efficient data transmission. Current research focuses on developing scalable scheduling algorithms, employing graph neural networks and deep reinforcement learning to address the computational complexity of optimal carrier assignment in large-scale networks. These advancements improve resource utilization and enable the deployment of significantly larger, more efficient backscatter networks, impacting areas such as environmental monitoring and the Internet of Things.