Invasive Weed Optimization for Antenna Design: Case of 4G/5G Multi-band Antenna
| Autor: | Elias A. Doumith, Mira Bou Saleh, Remi Sarkis |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Antenna design Latency (audio) 020206 networking & telecommunications 02 engineering and technology Multi band 0202 electrical engineering electronic engineering information engineering Cellular network Electronic engineering Mobile telephony Antenna (radio) business Weed 5G |
| Zdroj: | 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting. |
| DOI: | 10.1109/ieeeconf35879.2020.9330238 |
| Popis: | 5G is the latest generation of mobile communication and promises considerably higher data rates, lower latency, and increased number of instantaneous connections. This could not be achieved without the use of antennas that operate on several frequencies including those already-used by the current 4G technology. In this paper, we propose a new approach for the design of 4G/5G antennas based on the Invasive Weed Optimization algorithm. We show that our proposed algorithm outperforms the built-in optimizer of the CST simulator when applied to several 4G/5G antenna designs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|