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Ambient Backscattering-Enabled SWIPT Relaying System with a Nonlinear Energy Harvesting Model
Thu L N Nguyen1, Jin-Young Kim2, Yoan Shin1
1School of Electronic Engineering, Soongsil University, Seoul 06978, Korea.
Sensors (Basel, Switzerland)
|August 23, 2020
Summary
This study explores using ambient backscattering communication for simultaneous wireless information and power transfer in relay networks. A dynamic power splitting scheme optimizes energy harvesting and data transmission for better network performance.
Area of Science:
- Wireless communication networks
- Energy harvesting technologies
- Signal processing
Background:
- Radio frequency (RF) signals offer dual capabilities for information transmission and energy harvesting.
- RF-based energy harvesting can enhance existing communication systems, improving rate-energy tradeoffs and quality-of-service.
- Relay nodes in RF-based energy harvesting networks extend coverage and prolong operational lifetime by harvesting energy.
Purpose of the Study:
- Investigate a system combining ambient backscattering communication with simultaneous wireless information and power transfer (SWIPT) at a relay.
- Analyze a nonlinear energy harvesting model using a power splitting (PS) scheme for a backscatter device acting as a relay.
- Develop mathematical expressions for outage probability and system throughput in dynamic environments.
Main Methods:
- Implemented a power splitting (PS) scheme for nonlinear energy harvesting at the relay node.
- Utilized a backscatter device as a relay to harvest ambient energy and support sustainable network coverage.
- Derived analytical expressions for outage probability and achievable system throughput.
- Employed numerical simulations to evaluate system performance under varying channel conditions.
Main Results:
- A dynamic power splitting ratio is crucial for optimal performance in changing channel conditions.
- The proposed system demonstrates the feasibility of integrating ambient backscattering with SWIPT for relay networks.
- Mathematical models accurately predict outage probability and system throughput.
- Numerical results illustrate the impact of system parameters on performance metrics.
Conclusions:
- The developed system effectively enhances network coverage and prolongs relay lifetime through energy harvesting.
- Dynamic power splitting is essential for adapting to channel variations and maximizing system efficiency.
- The research provides valuable insights into optimizing RF-based energy harvesting relay networks for future wireless systems.
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