Presentation Information
[TuP-F-2]Experimental Performance Characterization of Optical Multiple-Input-Multiple-Output (MIMO) Processor Using Genetic Algorithm
○Chun-Wei Wu1, Yin-He Jian1, Yu-Han Lin1, Chi-Wai Chow1, Huang-Ming Chen1, Dan Yi2, Hon Ki Tsang2 (1. National Yang Ming Chiao Tung University (Taiwan), 2. Chinese University of Hong Kong (Hong Kong))
Keywords:
Silicon photonic switching devices using monolithic and heterogeneous integration technologies,Parallel data links and space division multiplexing for high-density interconnection
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.
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