Error Analysis of Ofdm-Im Systems for Beyond 5g: the Effect of Iqi at Transceiver

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2024

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Wiley

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Yes

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Abstract

It is well known that hardware impairments (HWIs) can worthy reduce the wireless system performance at high carrier frequencies by showing random effects. Most current researches for 5 GB systems assume that transmitters and receivers (transceivers) are perfectly equipped. But wireless transceivers (TxRx$$ {T}_x{R}_x $$) are affected by HWIs in practice. Considering the previous studies in the literature, it is reported that HWIs have devastating effects on the performance of OFDM and OFDM-index modulation (IM) systems with fading channels. In this paper, in-phase and quadrature phase imbalance (IQI), which is the one of most HWIs between transmitter and receiver in wireless communication systems, is examined on OFDM-IM system over Rayleigh and Nakagami-m$$ m $$ fading channels. Two well-known detectors, the maximum likelihood (ML) detector and the log-likelihood ratio (LLR) detector are used under the effect of the IQI at TxRx$$ {T}_x{R}_x $$. Error performance analyzes over fading channels of the IQI effect on OFDM-IM system are realized first theoretically and then by computer simulations. Results obtained for the presence of IQI at TxRx$$ {T}_x{R}_x $$ show that a performance evaluation based only on the presence of IQI in the receiver would be optimistic and misleading in terms of the performance of real-life OFDM-IM systems. Most current researches for 5 GB systems assume that transmitters and receivers (transceivers) are perfectly equipped. In this paper, in-phase and quadrature phase imbalance (IQI), which is the one of most HWIs between transmitter and receiver in wireless communication systems, is examined on OFDM-IM system over Rayleigh and Nakagami-m fading channels. Results obtained for the presence of IQI at transceiver show that a performance evaluation based only on the presence of IQI in the receiver would be optimistic and misleading in terms of the performance of real-life OFDM-IM systems. image

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Keywords

hardware impairment (HWI), index modulation (IM), in-phase and quadrature phase imbalance (IQI), log-likelihood ratio (LLR) detector, maximum likelihood (ML), Detector, index modulation (IM), maximum likelihood (ML), in-phase and quadrature phase imbalance (IQI), log-likelihood ratio (LLR) detector, hardware impairment (HWI)

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International journal of communication systems

Volume

37

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Scopus : 1

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1

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