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Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
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Quasi-Deterministic Channel Propagation Model for an Urban Environment at 28 GHz.

Neeraj Varshney1, Jian Wang1, Chiehping Lai1

  • 1National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.

IEEE Antennas and Wireless Propagation Letters
|September 18, 2023
PubMed
Summary
This summary is machine-generated.

Researchers optimized the Quasi-Deterministic channel model for next-generation Wi-Fi. This model, used for millimeter-wave (mmWave) communications, now offers reduced complexity without sacrificing accuracy in urban environments.

Keywords:
Location clusteringmillimeter-wave (mmWave)ray-tracing

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Area of Science:

  • Wireless communication
  • Electromagnetics
  • Signal processing

Background:

  • The IEEE 802.11ay task group adopted the Quasi-Deterministic channel propagation model for next-generation Wi-Fi.
  • Millimeter-wave (mmWave) communication systems require accurate channel models for reliable performance.
  • Existing models may have limitations in complexity or accuracy for specific deployment scenarios.

Purpose of the Study:

  • To reduce the parameter count of the Quasi-Deterministic channel propagation model.
  • To enhance the model's applicability by incorporating location-domain clustering.
  • To validate the optimized model's accuracy and complexity against established methods.

Main Methods:

  • Collected 28 GHz channel measurements in an urban environment using a switched-array channel sounder.
  • Extended ray-clustering from delay and angle domains to the receiver's location domain.
  • Compared model-generated channel realizations with those from a commercial ray-tracer.

Main Results:

  • Successfully reduced the number of parameters in the Quasi-Deterministic channel model.
  • Introduced a novel location-domain clustering technique for channel rays.
  • Demonstrated that the optimized model maintains accuracy comparable to a leading commercial ray-tracer.
  • Achieved significantly reduced model complexity.

Conclusions:

  • The optimized Quasi-Deterministic model provides an accurate and computationally efficient solution for mmWave channel modeling.
  • The incorporation of location-domain clustering enhances the model's practical utility for next-generation Wi-Fi.
  • This work contributes to the advancement of reliable wireless communication systems in the mmWave spectrum.