Index Modulation Multiple-Access (IMMA): Efficient Techniques for Downlink Millimeter Waves Outdoor Channel

El‐Khamy, Said E.; Elragal, Hassan M.; Polus, Remon

doi:10.1109/ojvt.2021.3112942

Cited by 8 publications

(1 citation statement)

References 34 publications

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“…A systematic approach to designing a IM-OFDMA downlink scheme is presented in [26]. The performance of a IM-based MA scheme is investigated in [27] for millimeter wave scenarios, and the outcomes in [27] revealed that it has outperformed OFDMA and NOMA schemes. For detector design with low computational complexity, which is the challenging part of IM-based MA schemes, a two-stage log-likelihood ratio (LLR) is presented in [28], and a machine learning-based approach is investigated in [29].…”

Section: A Related Workmentioning

confidence: 99%

Secure Uplink IM-OFDMA With Artificial IQ Imbalance

et al. 2023

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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 stateof-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.

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