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Reliable relay assisted communications for IoT based fall detection.

Khulud K Alharbi1, Sajid H Alvi2, Bakhtiar Ali3

  • 1Department of Health Administration and Hospitals, College of Public Health and Health Informatics, Umm Al-Qura University, Makkah, Saudi Arabia. kkharbi@uqu.edu.sa.

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Summary
This summary is machine-generated.

This study enhances fall detection for elderly patients using a Non-Orthogonal Multiple Access (NOMA) relaying system. The research analyzes signal-to-interference-plus-noise (SINR) performance for reliable IoT communication.

Keywords:
Amplify-and-forward (AF)Decode-and-forward (DF)IoTNon-orthogonal multiple access (NOMA)Signal-to-interference-plus-noise ratio (SINR) analysisfall detection

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Area of Science:

  • Wireless Communication Systems
  • Internet of Things (IoT)
  • Signal Processing

Background:

  • Future Internet of Things (IoT) applications require robust wireless communication, particularly relaying systems combined with Non-Orthogonal Multiple Access (NOMA).
  • Fall detection systems for elderly patients are a critical IoT application demanding high communication reliability.

Purpose of the Study:

  • To analyze the average signal-to-interference-plus-noise (SINR) performance of a NOMA-based relaying system for a fall detection IoT application.
  • To derive closed-form average SINR expressions for both Amplify-and-Forward (AF) and Decode-and-Forward (DF) relaying systems in NOMA.

Main Methods:

  • Utilized a NOMA-based relaying system where a source node transmits two symbols to a relay and destination node using superposition coding over Rayleigh fading channels.
  • Analyzed two relaying protocols: AF (amplification and re-transmission) and DF (decoding and re-transmission based on NOMA power coefficient).
  • Derived closed-form average SINR expressions using Tricomi confluent hypergeometric and Meijer's G functions.

Main Results:

  • Derived novel closed-form expressions for the average SINR performance of NOMA-based AF and DF relaying systems.
  • The derived analytical expressions for average SINR were validated against simulation results, showing excellent agreement.
  • Demonstrated the effectiveness of the NOMA relaying system in improving communication reliability for the fall detection IoT application.

Conclusions:

  • The developed analytical expressions provide computationally efficient methods for evaluating the SINR performance of NOMA relaying systems.
  • The NOMA-based relaying system shows significant potential for enhancing the reliability of IoT applications like elderly fall detection.
  • The study confirms the accuracy of the derived SINR expressions through rigorous simulations.