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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
ambient backscatter communicationdecode-and-forward relaynonlinear energy harvesting modelsimultaneous wireless information and power transfer

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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.