Analysis and Compensation of Tx and Rx IQ Imbalances in Uplink IM-OFDMA Systems

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

doi:10.1109/tvt.2023.3272357

Title: Analysis and Compensation of Tx and Rx IQ Imbalances in Uplink IM-OFDMA Systems

Journal Article · 02 May 2023 · IEEE Transactions on Vehicular Technology

DOI: https://doi.org/10.1109/tvt.2023.3272357 · OSTI ID:2204577

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^[3]; Miller, Scott L. ^[4];

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Texas A&M University, College Station, TX (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Al-Hussein Bin Talal University, Ma'an (Jordan)
Istanbul Commerce University (Turkey)
Texas A&M University, College Station, TX (United States)
Texas A&M University at Qatar, Doha (Qatar)

Index modulation-based orthogonal division multiple access (IM-OFDMA) has recently been proposed as a potential technique for future wireless communication systems due to its superior spectral efficiency and error performance over conventional multiple access schemes. However, its performance is still under investigation by researchers in light of a variety of scenarios and assumptions. Following this direction, in this Article, the individual and joint effects of the transmitter (Tx) and receiver (Rx) in-phase and quadrature imbalances (IQI) on the bit-error-rate (BER) performance of the uplink IM-OFDMA scheme are investigated by considering whether each user's RF front-end is identical or not. Moreover, to reduce the detrimental effect of IQI, a preamble-based estimation and compensation method is proposed for IM-OFDMA. Closed-form expressions for the average BER of IM-OFDMA are obtained by considering the physical effect of the Tx and Rx IQI. Also, using Monte Carlo simulations, the derived expressions are verified under different system configurations. Furthermore, analytical and simulation results reveal that Tx and Rx IQI cause an error floor in the BER performance of IM-OFDMA schemes. However, the proposed estimation and compensation method not only reduces the impact of IQI but also leads to a better BER performance compared to the case of no IQI, which mainly refers to the frequency diversity caused by the IQI.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; Qatar National Research Fund (QNRF)

Grant/Contract Number:: AC05-00OR22725; NPRP14C-0909-21008

OSTI ID:: 2204577

Journal Information:: IEEE Transactions on Vehicular Technology, Vol. 72, Issue 10; ISSN 0018-9545

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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