PLC Physical Layer Link Identification with Imperfect Channel State Information

<p dir="ltr">This paper proposes an accurate physical layer technique to uniquely identify the links of a power line communication network. First, the power line communications (PLC) multipath channel characterization is presented and detailed. Then, a multipath channel delay detecti...

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Main Author: Javier Hernandez Fernandez (19418752) (author)
Other Authors: Aymen Omri (19418755) (author), Roberto Di Pietro (16864155) (author)
Published: 2022
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author Javier Hernandez Fernandez (19418752)
author2 Aymen Omri (19418755)
Roberto Di Pietro (16864155)
author2_role author
author
author_facet Javier Hernandez Fernandez (19418752)
Aymen Omri (19418755)
Roberto Di Pietro (16864155)
author_role author
dc.creator.none.fl_str_mv Javier Hernandez Fernandez (19418752)
Aymen Omri (19418755)
Roberto Di Pietro (16864155)
dc.date.none.fl_str_mv 2022-08-21T06:00:00Z
dc.identifier.none.fl_str_mv 10.3390/en15166055
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/PLC_Physical_Layer_Link_Identification_with_Imperfect_Channel_State_Information/26862505
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Communications engineering
Electrical engineering
physical layer security
PLC
smart grid
identification
dc.title.none.fl_str_mv PLC Physical Layer Link Identification with Imperfect Channel State Information
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">This paper proposes an accurate physical layer technique to uniquely identify the links of a power line communication network. First, the power line communications (PLC) multipath channel characterization is presented and detailed. Then, a multipath channel delay detection technique is introduced to provide an accurate physical layer identification (PL ID) for the considered PLC links. The accuracy and efficiency are tested by evaluating the successful path detection probability (SPDP) in a simulated scenario under both perfect and imperfect channel state information conditions. The results confirm the advantages of the proposed scheme. Indeed, for a common PLC noise power around 90 dBuV, the provided accuracy reaches ≈90%, while for a noise power below 80 dBuV, the accuracy plateaus at 100%. Overall, the low complexity of the proposed approach and its staggering performance results pave the way for further possible applications in both the PLC and the security domain.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en15166055" target="_blank">https://dx.doi.org/10.3390/en15166055</a></p>
eu_rights_str_mv openAccess
id Manara2_415db5f11707181fc34fbd06f6b46597
identifier_str_mv 10.3390/en15166055
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26862505
publishDate 2022
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling PLC Physical Layer Link Identification with Imperfect Channel State InformationJavier Hernandez Fernandez (19418752)Aymen Omri (19418755)Roberto Di Pietro (16864155)EngineeringCommunications engineeringElectrical engineeringphysical layer securityPLCsmart grididentification<p dir="ltr">This paper proposes an accurate physical layer technique to uniquely identify the links of a power line communication network. First, the power line communications (PLC) multipath channel characterization is presented and detailed. Then, a multipath channel delay detection technique is introduced to provide an accurate physical layer identification (PL ID) for the considered PLC links. The accuracy and efficiency are tested by evaluating the successful path detection probability (SPDP) in a simulated scenario under both perfect and imperfect channel state information conditions. The results confirm the advantages of the proposed scheme. Indeed, for a common PLC noise power around 90 dBuV, the provided accuracy reaches ≈90%, while for a noise power below 80 dBuV, the accuracy plateaus at 100%. Overall, the low complexity of the proposed approach and its staggering performance results pave the way for further possible applications in both the PLC and the security domain.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en15166055" target="_blank">https://dx.doi.org/10.3390/en15166055</a></p>2022-08-21T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/en15166055https://figshare.com/articles/journal_contribution/PLC_Physical_Layer_Link_Identification_with_Imperfect_Channel_State_Information/26862505CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268625052022-08-21T06:00:00Z
spellingShingle PLC Physical Layer Link Identification with Imperfect Channel State Information
Javier Hernandez Fernandez (19418752)
Engineering
Communications engineering
Electrical engineering
physical layer security
PLC
smart grid
identification
status_str publishedVersion
title PLC Physical Layer Link Identification with Imperfect Channel State Information
title_full PLC Physical Layer Link Identification with Imperfect Channel State Information
title_fullStr PLC Physical Layer Link Identification with Imperfect Channel State Information
title_full_unstemmed PLC Physical Layer Link Identification with Imperfect Channel State Information
title_short PLC Physical Layer Link Identification with Imperfect Channel State Information
title_sort PLC Physical Layer Link Identification with Imperfect Channel State Information
topic Engineering
Communications engineering
Electrical engineering
physical layer security
PLC
smart grid
identification