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Chirp-based direct phase modulation of VCSELs managed by Neural Networks
dc.contributor | Lázaro Villa, José Antonio |
dc.contributor | Sarmiento Hernández, Samael |
dc.contributor.author | Kais Carranza, Johanna Libertad |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2019-06-06T08:03:17Z |
dc.date.available | 2019-06-06T08:03:17Z |
dc.date.issued | 2019-05-29 |
dc.identifier.uri | http://hdl.handle.net/2117/134032 |
dc.description.abstract | VCSEL's capacity of direct modulation and its low cost makes this device a feasible cost-effective transmitter for ultra-dense wavelength division multiplexing (uDWDM) metro-access networks using coherent detection. However, performing direct-phase modulation in semiconductors can be complex due to its nonlinear characteristics. This research presents Neural Network (NN) training techniques for Time-Series analysis in order to describe the correlation between the input current given to the device and its output optical phase, using a 1550nm RayCan SM-VCSEL. Main goal is training a NN capable of predicting an ideal optical power signal for a specific phase result achievable by inverse training, that is: optical phase is the neural network input while the optical power is the desired target. The experiment is done in three stages: (i) VCSEL's characterization, (ii) NN training to predict input current knowing optical power, and (iii) NN training to predict optical power from a known optical phase. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | S'autoritza la difusió de l'obra mitjançant la llicència Creative Commons o similar 'Reconeixement-NoComercial- SenseObraDerivada' |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Neural networks (Computer science) |
dc.subject.lcsh | Multiplexing |
dc.subject.other | VCSEL |
dc.subject.other | Neural Network |
dc.subject.other | Time-Series Analysis |
dc.title | Chirp-based direct phase modulation of VCSELs managed by Neural Networks |
dc.type | Master thesis |
dc.subject.lemac | Xarxes neuronals (Informàtica) |
dc.subject.lemac | Multiplexatge |
dc.identifier.slug | ETSETB-230.135808 |
dc.rights.access | Open Access |
dc.date.updated | 2019-06-03T05:51:13Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN ENGINYERIA DE TELECOMUNICACIÓ (Pla 2013) |