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Beamforming Design for Full-Duplex SWIPT with Co-Channel Interference in Wireless Sensor Systems.

Xiaoqing Liu1, Yinglin Jia2, Zhigang Wen3

  • 1Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China. xq0723@bupt.edu.cn.

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|October 10, 2018
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Summary

This study optimizes simultaneous wireless information and power transfer (SWIPT) in wireless sensor networks (WSNs) to extend device lifetime. It addresses co-channel interference using joint beamforming, enhancing green communication efficiency.

Keywords:
amplify-and-forward relay systemco-channel interferersfull-dupleximperfect channel state informationsimultaneous wireless information and power transfersuccessive convex approximationwireless sensor networks

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Area of Science:

  • Wireless communication systems
  • Green communication technologies
  • Sensor networks

Background:

  • Simultaneous Wireless Information and Power Transfer (SWIPT) is crucial for extending wireless sensor network (WSN) lifetime.
  • Co-channel interference in SWIPT systems, especially from a green communication standpoint, remains under-explored.
  • Full-duplex MIMO amplify-and-forward relay systems face challenges with interference impacting performance.

Purpose of the Study:

  • To investigate joint transmit and receive beamforming design for SWIPT in WSNs considering co-channel interference.
  • To minimize the mean-squared-error (MSE) of the system under power and energy harvesting constraints.
  • To develop efficient algorithms for optimizing SWIPT systems in the presence of multiple interferers.

Main Methods:

  • Joint source and relay beamforming optimization is proposed.
  • An iterative algorithm utilizing alternating optimization and successive convex approximation is employed to solve the non-convex problem.
  • A low-complexity scheme is derived to reduce computational overhead.

Main Results:

  • The proposed iterative algorithm converges to a local optimum, effectively minimizing MSE.
  • Simulations confirm the convergence and robust performance of the developed schemes.
  • The approach successfully balances information transfer and energy harvesting under interference.

Conclusions:

  • The joint beamforming design effectively mitigates co-channel interference in SWIPT-enabled WSNs.
  • The proposed algorithms provide efficient solutions for optimizing system performance and energy efficiency.
  • This research contributes to the advancement of green communication strategies for WSNs.