Bahrani, S, Elmabrok, O, Lorenzo, GC et al. (1 more author) (2019) Resource Optimization in Quantum Access Networks. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, 12-17 May 2019, Brighton, UK. IEEE , pp. 7988-7992. ISBN 9781479981311
Abstract
In this paper, low-complexity channel allocation methods are proposed for quantum access networks. We consider dense-wavelength-division-multiplexing passive optical network (DWDM-PON) structures that enable users to exchange secret keys, in addition to data transmission. We consider two main sources of noise in such systems, Raman scattering and four-wave mixing, and examine optimal channel allocation in different scenarios. We also take into account finite-key effects in the quantum key distribution (QKD) channels. Our numerical results show that the proposed wavelength assignment methods can significantly enhance the secret key generation rate of users.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Quantum key distribution; Quantum communication; DWDM-PON |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/M013472/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Aug 2019 12:38 |
Last Modified: | 04 Aug 2019 04:46 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICASSP.2019.8683681 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149217 |