Analysis of the Impact of the Receiver I/Q Imbalance on the Achievable Rate of SC-FDE Systems

Hajiabdolrahim, Nima; Sabbaghian, Maryam

doi:10.1109/tvt.2017.2785345

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Moreover, [421] derives lower bounds on the ergodic capacity and outage capacity of SC-FDMA systems. Furthermore, in [422], the achievable rate of the SC-FDE system under the receive frequency-flat IQ imbalance over Rayleigh fading channels is analyzed. MMSE, ZF and MF are considered.…”

Section: B Performance Analysismentioning

confidence: 99%

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: B Performance Analysismentioning

confidence: 99%

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

Mohammadian

Tellambura

2021

IEEE Access

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“…It is known that the use of DFE provides better performance against ISI when compared with the linear MMSE equalizer [9]. Thus, a natural question that arises is whether this performance improvement provided by the DFE will present itself in the co-channel interference cancellation process.…”

Section: Imentioning

confidence: 99%

Study of Widely Linear SC-FDE Systems for Interference Cancellation

Chang

Pereira

Rocha

2019

JCIS

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In this paper, a performance analysis of widely linear (WL) equalizers for single carrier systems using frequency domain equalization (SC-FDE) under multiple independent interferences is presented. In this context, the expressions of the mean square error (MSE) and bit error rate (BER) for linear and WL equalizers in their regular and iterative versions for this scenario were derived. It was seen that the results obtained with these expressions match the simulated ones. They also show that the performance of the WL equalizers is better when compared to their linear versions regardless of the number of interferences.

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Estimation and compensation of I/Q linear phase imbalance based on the generalized cross correlation and cross-power spectrum phase method

Meng

Wang

et al. 2019

2019 14th IEEE International Conference on Electronic Measurement &Amp; Instruments (ICEMI)

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Analysis of the Impact of the Receiver I/Q Imbalance on the Achievable Rate of SC-FDE Systems

Cited by 4 publications

References 14 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

Study of Widely Linear SC-FDE Systems for Interference Cancellation

Estimation and compensation of I/Q linear phase imbalance based on the generalized cross correlation and cross-power spectrum phase method

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