Joint Estimation of RF Impairments, Channel, and Low Complexity Iterative Equalization Technique for High Mobility SC-FDMA/OFDMA Uplink Systems

S., Sanoopkumar P.; Muneer, P.; Sameer, S. M.

doi:10.1109/twc.2020.2982379

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…Moreover, CFO estimation in the uplink of SC-FDMA systems is investigated in [216], [217]. Authors in [216] propose a blind multiple CFOs estimation algorithm that uses the phase difference between even and odd samples of the received oversampled signal.…”

Section: Joint Channel and Cfo Estimation And Compensationmentioning

confidence: 99%

“…Moreover, it is shown that the MSE of estimated CFO approaches derived CRLB at high SNR. Besides, reference [217] presents an iterative subspace nulling-based algorithm for joint estimation of CFO, IQ imbalance, and doubly-selective channels in SC-FDMA systems by using pilot symbols. Furthermore, the complexity of the proposed algorithm is reduced by using the first-order Neumann series expansion.…”

Section: Joint Channel and Cfo Estimation And Compensationmentioning

confidence: 99%

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RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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Wireless transceivers for mass-market applications must be cost effective. We may achieve this goal by deploying non-ideal low-cost radio frequency (RF) analog components. However, their imperfections may result in RF impairments, including phase noise (PN), carrier frequency offset (CFO), and in-phase (I) and quadrature-phase (Q) imbalance. These impairments introduce in-band and out-of-band interference terms and degrade the performance of wireless systems. In this survey, we present RF-impairment signal models and discuss their impacts. Moreover, we review RF-impairment estimation and compensation in singlecarrier (SC) and multicarrier systems, especially orthogonal frequency division multiplexing (OFDM). Furthermore, we discuss the effects of the RF impairments in already-established wireless technologies, e.g., multiple-input multiple-output (MIMO), massive MIMO, full-duplex, and millimeter-wave communications and review existing estimation and compensation algorithms. Finally, future research directions investigate the RF impairments in emerging technologies, including cell-free massive MIMO communications, nonorthogonal multicarrier systems, non-orthogonal multiple access (NOMA), ambient backscatter communications, and intelligent reflecting surface (IRS)-assisted communications. Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments.

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Section: Joint Channel and Cfo Estimation And Compensationmentioning

confidence: 99%

Section: Joint Channel and Cfo Estimation And Compensationmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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“…16 The algorithm optimizes the ISI and efficiently restores the carrier phase compared to other blind algorithms, namely, constant modulus and multi-modulus algorithms. An iterative equalization technique with multiuser interference cancelation and detection is proposed by Sanoopkumar et al 17 The equalization algorithm mitigates the interference caused by transmitter and receiver in-phase/quadrature (IQ) imbalance, CFO, and doubly selective channel in the SC-FDMA system. Energy efficiency is optimized through the resolution of an optimization problem based on constrained energy efficiency maximization, despite the energy constraints associated with an uplink of the IFDMA-based LTE system.…”

mentioning

confidence: 99%

Intersymbol interference resilient interleaving architecture for multi‐stream interleaved frequency division multiple access system

Kumar¹,

Stuwart

2022

Int J Communication

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A multi-stream cyclic interleaving architecture for an interleaved frequency division multiple access (IFDMA) system is proposed. The proposed scheme exploits the full benefits of maximal length sequence (m-sequence), in contrast to single data stream transmission scheme proposed in earlier works, thereby allowing simultaneous transmission of multiple data streams by each user. The cyclic spreading allows the separation of multiple data streams for each user in addition to intersymbol interference (ISI) minimization. The assignment of orthogonal subcarriers to each user compensates multiuser interference (MUI). The increase in the number of data stream transmission improves the data rate of the system. The proposed scheme employs maximal ratio combining (MRC) to maximize the instantaneous signal-to-noise ratio (SNR) of the multipath signal. The performances of the proposed interleaving scheme are compared with the minimum mean square error frequency domain equalization (MMSE-FDE)-based conventional interleaving scheme. Despite the simultaneous transmission of multiple data streams, the proposed scheme retains the performance of single data stream transmission.

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A low complexity iterative equalization technique for OFDMA and SC-FDMA uplink systems with Tx-Rx IQ imbalance and CFO under doubly selective channels

Muneer

Sameer

2020

Physical Communication

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Joint Estimation of RF Impairments, Channel, and Low Complexity Iterative Equalization Technique for High Mobility SC-FDMA/OFDMA Uplink Systems

Cited by 10 publications

References 21 publications

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Intersymbol interference resilient interleaving architecture for multi‐stream interleaved frequency division multiple access system

A low complexity iterative equalization technique for OFDMA and SC-FDMA uplink systems with Tx-Rx IQ imbalance and CFO under doubly selective channels

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