Despite energy harvesting (EH) using radio frequency (RF) signals and the concept of simultaneous wireless information and power transfer (SWIPT) being attractive technologies to adapt in various low-power wireless systems, the research in these fields was mostly built upon less-practical configurations. While a resource allocation strategy was proposed to identify the optimal performance bounds for SWIPT systems, a huge computational complexity makes it impractical to apply to real-world systems. In this work, we figure out that the strategy for achieving the optimal performance bounds follows a water-filling algorithm similarly. We use this observation to propose a heuristic algorithm for finding a water level for power allocation and effective power splitting ratio with minimal complexity. Using analysis and simulations, we show that the proposed scheme achieves near-optimal performance with a significant lower complexity compared to previously proposed optimal-bound identifying schemes.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering