Abstract
As mentioned in Part-I [1], rapid prototyping plays a critical role in the design of antennas and related planar circuits for wireless communications, especially as we embrace the 5G/6G protocols going forward into the future. Existing commercial software modules are often inadequate for this task in the millimeter-wave range since the memory requirements and runtimes are often too high for them to be acceptable as design tools. Using approximate equivalent circuit models for various components comprising the antenna and the feed system is not the answer either, because these models are not sufficiently accurate. Consequently, it becomes necessary to resort to the use of more sophisticated simulation techniques based on full-wave solvers that are numerically rigorous, albeit computer-intensive. Furthermore, optimizing the dimensions of antennas and circuits to enhance the performance of the system is frequently desired, and this often exacerbates the problem since the simulation must be run a large number of times to achieve the performance goal, namely an optimized design. Consequently, as pointed out earlier, it is highly desirable to develop accurate yet efficient techniques, both in terms of memory requirements and runtimes, to expedite the design process as much as possible.
| Original language | English |
|---|---|
| Pages (from-to) | 471-498 |
| Number of pages | 28 |
| Journal | Applied Computational Electromagnetics Society Journal |
| Volume | 40 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- 5G/6G Communication
- Antenna Design
- Computational Electromagnetics (CEM)
- Electromagnetic Scattering
- Finite Element Method (FEM)
- Finite-Difference Time- Domain (FDTD)
- GPU acceleration
- Method of Moments (MoM)
- Microwave Circuits
- Millimeter waves
- Perfectly Matched Layer (PML).
Fingerprint
Dive into the research topics of 'Novel Strategies for Efficient Computational Electromagnetic (CEM) Simulation of Microstrip Circuits, Antennas, Arrays, and Metamaterials Part-II: Characteristic Basis Function Method, Perfectly Matched Layer, GPU Acceleration'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver