Experimental Performance Characterization of Optical Multiple-Input-Multiple-Output (MIMO) Processor Using Genetic Algorithm
We characterize and compare four-fitness functions for the genetic-algorithm (GA) to effectively configure the silicon-photonic-based multiple-input-multiple-output (MIMO) processor. Results show that different fitness function works well at different initial power distributions.
Authors
- Yi Dan (ORCID: https://orcid.org/0000-0001-7714-2259)
- Yin-He Jian (ORCID: https://orcid.org/0000-0002-0663-9636)
- Hon Ki Tsang (ORCID: https://orcid.org/0000-0003-2777-1537)
- Yuan‐Chien Lin (ORCID: https://orcid.org/0000-0002-3439-8999)
- Chi‐Wai Chow (ORCID: https://orcid.org/0000-0002-7488-2611)
- Chunwei Wu (ORCID: https://orcid.org/0000-0001-6209-3714)
- Huang-Ming Chen
Institutions
- National Yang Ming Chiao Tung University (TW)
- Chinese University of Hong Kong (HK)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109599
- Citations
- 1
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73