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Wigner distribution function approach to analyze MIMO communication within a waveguide.

Deepthee Madenoor Ramapriya1, Kaliprasad C S2, Hemanth Kumar C1

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Summary

This study models wireless chip-to-chip communication using a phase space approach. The Wigner distribution function method accurately predicts signal propagation in complex enclosures, improving future electronic device efficiency.

Keywords:
Correlation functionMIMO communicationWaveguideWigner distribution functionWireless C2C communication

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Area of Science:

  • Electrical Engineering
  • Electromagnetics
  • Wireless Communication

Background:

  • Wireless chip-to-chip (C2C) communication aims to overcome limitations of wired connections in electronic devices.
  • Complex enclosures with printed circuit boards (PCBs) cause multi-path interference, complicating signal propagation prediction.
  • Existing ray transport methods predict average signal density but miss crucial fluctuations.

Purpose of the Study:

  • To develop a mathematical model for wireless C2C communication within complex enclosures.
  • To establish a foundation for reliable modeling of wave propagation between antennas in such environments.
  • To mitigate the information bottleneck in future electronic devices.

Main Methods:

  • Utilizes a phase space approach, linking field-field correlation functions (CFs) with the Wigner distribution function (WDF).
  • Extends the WDF approach to handle finite cavities, incorporating reflections.
  • Employs high-frequency asymptotics to derive phase space propagators from classical multi-reflection ray dynamics.

Main Results:

  • The Wigner distribution function (WDF) approach provides a more accurate model for wave propagation compared to traditional ray transport.
  • The model effectively incorporates reflections and multi-path interference within finite cavities.
  • Phase space propagators are derived, enabling better prediction of signal behavior.

Conclusions:

  • The phase space WDF model offers a robust solution for analyzing wireless C2C communication in complex enclosures.
  • This approach enhances the prediction of signal propagation, addressing limitations of prior methods.
  • Improved modeling can lead to more efficient future electronic devices by overcoming communication bottlenecks.