A comprehensive propagation prediction model comprising microfacet based scattering and probability based coverage...

Area of Science:

• Electromagnetics and Wave Propagation
• Wireless Communication Systems
• Computational Electromagnetics

Background:

• Ray tracing models are common for indoor radio wave propagation.
• Existing models lack integrated approaches for optimal wireless network coverage.
• Accurate propagation prediction is crucial for designing effective wireless networks.

Purpose of the Study:

• To present an accelerated 3D ray tracing technique for indoor radio wave propagation.
• To develop an integrated solution for optimal indoor wireless coverage prediction.
• To enhance the efficiency and accuracy of ray tracing for wireless network design.

Main Methods:

• Incorporated rough surface scattering using microfacets for enhanced ray tracing accuracy.
• Implemented optimization techniques: dual quadrant skipping (DQS) and closest object finder (COF) for efficiency.
• Developed a probability-based coverage optimization algorithm integrated with ray tracing.

Main Results:

• The proposed technique significantly reduces ray tracing time by optimizing object selection and intersection calculations.
• The integrated approach provides a compact solution for indoor propagation prediction and coverage optimization.
• The algorithm demonstrates superior space and time complexities compared to existing methods.

Conclusions:

• The accelerated ray tracing with microfacet scattering and integrated coverage optimization offers a more efficient and accurate solution for indoor wireless network design.
• Simulation and experimental results validate the effectiveness of the proposed technique across various parameters.
• This approach advances the state-of-the-art in indoor radio wave propagation modeling and network planning.