Energy-efficient optical signal processing using optical time lenses
Energy-efficient optical signal processing using optical time lenses
This chapter describes advanced functionalities for optical signal processing using optical time lenses. A special focus is devoted to functionalities that allow for energy-savings. In particular, we find that optical signal processing, where the processing is broadband and capable of handling many bits in a single operation allows for sharing the processing energy by the many bits, and hence the energy per bit is reduced. Such functionalities include serial-to-parallel conversion in a single time lens, where a large number of parallel demultiplexers may be substituted by a single time lens. Combining time lenses into telescopic arrangements allows for more advanced signal processing, such as temporal or spectral compression or magnification. A spectral telescope may for instance allow for conversion of OFDM signals to DWDM-like signals, which can be separated passively, i.e. without additional energy. This is opposed to the DFT OFDM receivers otherwise suggested, where a temporal active gate is required for each tributary. With the spectral telescope, only two active time lenses are required, irrespective of how many tributaries are used. This chapter describes how optical time lenses function and by showing examples of some advanced functionalities points to future scenarios where energy consumption may be considerably reduced.
261-289
Oxenløwe, Leif Katsuo
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Galili, Michael
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Mulvad, Hans Christian Hansen
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Hu, Hao
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Guan, Pengyu
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Palushani, Evarist
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Lillieholm, Mads
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Clausen, Anders
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Oxenløwe, Leif Katsuo
1c01e3f5-29bd-4a4d-8707-ad9b76cf7462
Galili, Michael
5628c538-e95f-417f-b008-a4c781fb6c39
Mulvad, Hans Christian Hansen
b461b05f-88f2-4f28-b20a-e45cf258f456
Hu, Hao
6be9c5bf-d915-4766-9770-ec3f73e22c31
Guan, Pengyu
a949c112-97b7-47fd-a836-aac3d017ed8b
Palushani, Evarist
de0169cc-0eb7-463e-82be-fb3f435f0116
Lillieholm, Mads
9604a1b4-d4e2-40c7-afdf-680bab27ec5f
Clausen, Anders
d9f4e115-3bd0-4b80-9063-d136134d45e5
Oxenløwe, Leif Katsuo, Galili, Michael, Mulvad, Hans Christian Hansen, Hu, Hao, Guan, Pengyu, Palushani, Evarist, Lillieholm, Mads and Clausen, Anders
(2015)
Energy-efficient optical signal processing using optical time lenses.
Springer Series in Optical Sciences, 194, .
(doi:10.1007/978-3-319-14992-9_9).
Abstract
This chapter describes advanced functionalities for optical signal processing using optical time lenses. A special focus is devoted to functionalities that allow for energy-savings. In particular, we find that optical signal processing, where the processing is broadband and capable of handling many bits in a single operation allows for sharing the processing energy by the many bits, and hence the energy per bit is reduced. Such functionalities include serial-to-parallel conversion in a single time lens, where a large number of parallel demultiplexers may be substituted by a single time lens. Combining time lenses into telescopic arrangements allows for more advanced signal processing, such as temporal or spectral compression or magnification. A spectral telescope may for instance allow for conversion of OFDM signals to DWDM-like signals, which can be separated passively, i.e. without additional energy. This is opposed to the DFT OFDM receivers otherwise suggested, where a temporal active gate is required for each tributary. With the spectral telescope, only two active time lenses are required, irrespective of how many tributaries are used. This chapter describes how optical time lenses function and by showing examples of some advanced functionalities points to future scenarios where energy consumption may be considerably reduced.
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e-pub ahead of print date: 12 April 2015
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Local EPrints ID: 457555
URI: http://eprints.soton.ac.uk/id/eprint/457555
ISSN: 0342-4111
PURE UUID: 75d6b3fb-49c8-4cc9-96da-0c4d27e3ab8a
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Date deposited: 13 Jun 2022 16:34
Last modified: 17 Mar 2024 03:38
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Author:
Leif Katsuo Oxenløwe
Author:
Michael Galili
Author:
Hans Christian Hansen Mulvad
Author:
Hao Hu
Author:
Pengyu Guan
Author:
Evarist Palushani
Author:
Mads Lillieholm
Author:
Anders Clausen
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