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5G component optimization

Accelerating 5G component optimization via high-throughput simulation (12,000+ runs)

 

Electromagnetic waves

The challenge

Grounded Coplanar Waveguides (GCPWs) are critical for 5G and automotive radar, but optimizing them for impedance matching and minimal signal loss requires balancing multiple geometric parameters (track width, gap, dielectric thickness).

Finding the optimal configuration requires exploring a massive design space, often involving thousands of iterations—a task that takes weeks on traditional desktop workstations.

Approach with Quanscient Allsolve

The study leveraged Quanscient Allsolve’s cloud scaling to perform a massive design exploration study of 12,000 unique GCPW configurations.

The simulation utilized Finite Element Method (FEM) solvers with a structured mesh optimization study to balance accuracy and speed, sweeping parameters including relative permittivity, frequency, and physical geometry simultaneously.



Key results

  • Extreme acceleration: Completed 12,000 simulations (each with ~500k DoF) in just 3 hours. On a standard single-core desktop, this would have taken 9 days of continuous runtime.
  • Validation: Simulation results matched analytical characteristic impedance calculations within 5%, validating the FEM setup.
  • Mesh insight: Demonstrated that structured meshes provided equivalent accuracy to tetrahedral meshes for planar geometries while significantly reducing element count.
The combined effect of track width and dielectric thickness on the characteristic impedance. The results reveal a slightly non-linear relationship between these parameters, highlighting the importance of considering their combined influence during the design process. The S-parameter magnitude for this combined sweep is shown on the right.