Modeling and algorithms for optimizing beam steering optical crossconnects

Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. === Includes bibliographical references (p. 81). === One of the most significant applications of Micro-Electromechanical Systems (MEMS) technology in optical communications today is in...

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Main Author: Phanaphat, Piyajit, 1980-
Other Authors: Jungsang Kim, Carl J. Nuzman and Vincent W.S. Chan.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/29690
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-296902019-05-02T15:42:52Z Modeling and algorithms for optimizing beam steering optical crossconnects Phanaphat, Piyajit, 1980- Jungsang Kim, Carl J. Nuzman and Vincent W.S. Chan. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 81). One of the most significant applications of Micro-Electromechanical Systems (MEMS) technology in optical communications today is in building large non-blocking optical crossconnects based on arrays of tiltable micro-mirrors. The complexity for these crossconnects to make all possible connections lies in the calibration or fine-tuning of the mirror tilt angles to optimize the transmissivity through each possible input/output pair. The result from the fine-tuning process that produces optimization at one point in time, however, does not guarantee optimization for future attempts. This thesis models the transmissivity as a function of control variables in the vicinity of an optimal point and uses this model to re-optimize the connections quickly when a connection is reestablished. The re-optimization algorithm achieves the goal of optimizing quickly by requiring that some prior knowledge about each connection is already known. Scalable methods for representing the per-connection transmissivity model are also studied. Experimental results of the algorithm performance on real crossconnect systems are reported, including connection setup in under 50 milliseconds. by Piyajit Phanaphat. M.Eng. 2006-03-24T16:15:35Z 2006-03-24T16:15:35Z 2003 2003 Thesis http://hdl.handle.net/1721.1/29690 53867296 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 81 p. 3962957 bytes 3962766 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Phanaphat, Piyajit, 1980-
Modeling and algorithms for optimizing beam steering optical crossconnects
description Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. === Includes bibliographical references (p. 81). === One of the most significant applications of Micro-Electromechanical Systems (MEMS) technology in optical communications today is in building large non-blocking optical crossconnects based on arrays of tiltable micro-mirrors. The complexity for these crossconnects to make all possible connections lies in the calibration or fine-tuning of the mirror tilt angles to optimize the transmissivity through each possible input/output pair. The result from the fine-tuning process that produces optimization at one point in time, however, does not guarantee optimization for future attempts. This thesis models the transmissivity as a function of control variables in the vicinity of an optimal point and uses this model to re-optimize the connections quickly when a connection is reestablished. The re-optimization algorithm achieves the goal of optimizing quickly by requiring that some prior knowledge about each connection is already known. Scalable methods for representing the per-connection transmissivity model are also studied. Experimental results of the algorithm performance on real crossconnect systems are reported, including connection setup in under 50 milliseconds. === by Piyajit Phanaphat. === M.Eng.
author2 Jungsang Kim, Carl J. Nuzman and Vincent W.S. Chan.
author_facet Jungsang Kim, Carl J. Nuzman and Vincent W.S. Chan.
Phanaphat, Piyajit, 1980-
author Phanaphat, Piyajit, 1980-
author_sort Phanaphat, Piyajit, 1980-
title Modeling and algorithms for optimizing beam steering optical crossconnects
title_short Modeling and algorithms for optimizing beam steering optical crossconnects
title_full Modeling and algorithms for optimizing beam steering optical crossconnects
title_fullStr Modeling and algorithms for optimizing beam steering optical crossconnects
title_full_unstemmed Modeling and algorithms for optimizing beam steering optical crossconnects
title_sort modeling and algorithms for optimizing beam steering optical crossconnects
publisher Massachusetts Institute of Technology
publishDate 2006
url http://hdl.handle.net/1721.1/29690
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