Development and enhancement of metamaterial-inspired Ag-GaAs THz MIMO antenna with optimized diversity metrics using data-driven machine learning algorithms for future 6G networks
Ammar Armghan, Vishalkumar Mandaliya, Meshari Alsharari, Khaled Aliqab, Slim Ben Chaabane, Aymen Flah · 2025
Read Development and enhancement of metamaterial-inspired Ag-GaAs THz MIMO antenna with optimized diversity metrics using data-driven machine learning algorithms for future 6G networks by Ammar Armghan, Vishalkumar Mandaliya, Meshari Alsharari, Khaled Aliqab, Slim Ben Chaabane, Aymen Flah (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12749648.txt.
Description
Armghan and co-authors build a THz twin-stream dish tuned for 6G nets. Twin streams lift data pace and grip in fast nets. Odd-stuff forms and learn tools tune the dish in the work. The dish base pairs a rare salt mix in its build. Top marks span high gain and wide wave span in tests. Peak gain hits 8.9 dBi in the dish runs. Wave span runs to 30 THz at its wide edge.
A low cross mark, 0.0004, flags weak tie twixt streams. Weak tie means clean splits and more sure holds in flow. A high split gain backs that read in the test set. Loss marks sit at 0.0916 bits per Hz in the runs. Those marks sum how much flow the pair can bear. Learn tools and hand sweeps both hone the dish shape.
Catalog record
| CREATOR | Ammar Armghan, Vishalkumar Mandaliya, Meshari Alsharari, Khaled Aliqab, Slim Ben Chaabane, Aymen Flah |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |