Secure Uplink IM-OFDMA With Artificial IQ Imbalance

Ozgur Alaca, Saud Althunibat, Serhan Yarkan, Scott L. Miller, Khalid A. Qaraqe

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)57305-57318
Number of pages14
JournalIEEE Access
Volume11
DOIs
StatePublished - 2023

Funding

This work was supported in part by the Qatar National Research Fund (a member of the Qatar Foundation) under Grant NPRP14C-0909-210008; and in part by UT Battelle LLC, through the U.S. Department of Energy (DOE), under Contract DE AC05 00OR22725.

Keywords

  • Data confidentiality
  • IM-OFDMA
  • IQ imbalance
  • index modulation
  • physical layer security

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