Secure Uplink IM-OFDMA With Artificial IQ Imbalance
<p dir="ltr">This study proposes a novel secure uplink index modulation-based orthogonal frequency division multiple access (IM-OFDMA) systems using artificial in-phase and quadrature imbalance (A-IQI). The fact of the distinct A-IQI induced at the users’ end and the unpredictable al...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513527512825856 |
|---|---|
| author | Ozgur Alaca (17949101) |
| author2 | Saud Althunibat (16888722) Serhan Yarkan (17949089) Scott L. Miller (17949092) Khalid A. Qaraqe (16904664) |
| author2_role | author author author author |
| author_facet | Ozgur Alaca (17949101) Saud Althunibat (16888722) Serhan Yarkan (17949089) Scott L. Miller (17949092) Khalid A. Qaraqe (16904664) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ozgur Alaca (17949101) Saud Althunibat (16888722) Serhan Yarkan (17949089) Scott L. Miller (17949092) Khalid A. Qaraqe (16904664) |
| dc.date.none.fl_str_mv | 2023-06-09T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2023.3284687 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Secure_Uplink_IM-OFDMA_With_Artificial_IQ_Imbalance/25205150 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Receivers Security Uplink NOMA Estimation OFDM Wireless communication Data confidentiality IM-OFDMA index modulation IQ imbalance physical layer security |
| dc.title.none.fl_str_mv | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This study proposes a novel secure uplink index modulation-based orthogonal frequency division multiple access (IM-OFDMA) systems using artificial in-phase and quadrature imbalance (A-IQI). The fact of the distinct A-IQI induced at the users’ end and the unpredictable allocation of users based on confidential data brings a different perspective on physical layer security. Accordingly, in this study, the non-identical effect of A-IQI is exploited to provide a physical-layer security scheme for the IM-OFDMA systems. Specifically, the estimation method is created with preamble data in order to achieve each user’s unique A-IQI information from a legitimate receiver. The A-IQI will help to secure the transmitted data against a potential eavesdropper, and hence, improving data confidentiality. The proposed scheme’s performance is analytically evaluated by deriving closed-form expressions of the average bit error rate (BER) at both the base station and the eavesdropper. The image rejection ratios of A-IQI and practical IQI are provided for IM-OFDMA to indicate the region of intentionally generated A-IQI. Under the different system model specifications of IM-OFDMA, the analytical results are provided with simulation results obtained using the Monte Carlo simulation method. Further, the proposed secure scheme is compared with the state-of-the-art artificial noise method. Results reveal a significant improvement in the BER at the base station, accompanied by severe degradation in the BER at the eavesdropper.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3284687" target="_blank">https://dx.doi.org/10.1109/access.2023.3284687</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e66187fd474475b54e810ff14e0225fa |
| identifier_str_mv | 10.1109/access.2023.3284687 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25205150 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Secure Uplink IM-OFDMA With Artificial IQ ImbalanceOzgur Alaca (17949101)Saud Althunibat (16888722)Serhan Yarkan (17949089)Scott L. Miller (17949092)Khalid A. Qaraqe (16904664)EngineeringElectrical engineeringElectronics, sensors and digital hardwareMaterials engineeringReceiversSecurityUplinkNOMAEstimationOFDMWireless communicationData confidentialityIM-OFDMAindex modulationIQ imbalancephysical layer security<p dir="ltr">This study proposes a novel secure uplink index modulation-based orthogonal frequency division multiple access (IM-OFDMA) systems using artificial in-phase and quadrature imbalance (A-IQI). The fact of the distinct A-IQI induced at the users’ end and the unpredictable allocation of users based on confidential data brings a different perspective on physical layer security. Accordingly, in this study, the non-identical effect of A-IQI is exploited to provide a physical-layer security scheme for the IM-OFDMA systems. Specifically, the estimation method is created with preamble data in order to achieve each user’s unique A-IQI information from a legitimate receiver. The A-IQI will help to secure the transmitted data against a potential eavesdropper, and hence, improving data confidentiality. The proposed scheme’s performance is analytically evaluated by deriving closed-form expressions of the average bit error rate (BER) at both the base station and the eavesdropper. The image rejection ratios of A-IQI and practical IQI are provided for IM-OFDMA to indicate the region of intentionally generated A-IQI. Under the different system model specifications of IM-OFDMA, the analytical results are provided with simulation results obtained using the Monte Carlo simulation method. Further, the proposed secure scheme is compared with the state-of-the-art artificial noise method. Results reveal a significant improvement in the BER at the base station, accompanied by severe degradation in the BER at the eavesdropper.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3284687" target="_blank">https://dx.doi.org/10.1109/access.2023.3284687</a></p>2023-06-09T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2023.3284687https://figshare.com/articles/journal_contribution/Secure_Uplink_IM-OFDMA_With_Artificial_IQ_Imbalance/25205150CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252051502023-06-09T06:00:00Z |
| spellingShingle | Secure Uplink IM-OFDMA With Artificial IQ Imbalance Ozgur Alaca (17949101) Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Receivers Security Uplink NOMA Estimation OFDM Wireless communication Data confidentiality IM-OFDMA index modulation IQ imbalance physical layer security |
| status_str | publishedVersion |
| title | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| title_full | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| title_fullStr | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| title_full_unstemmed | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| title_short | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| title_sort | Secure Uplink IM-OFDMA With Artificial IQ Imbalance |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Receivers Security Uplink NOMA Estimation OFDM Wireless communication Data confidentiality IM-OFDMA index modulation IQ imbalance physical layer security |