Joint ML Estimation of CFO and Channel, and a Low Complexity Turbo Equalization Technique for High Mobility OFDMA Uplinks

Muneer, P.; Sameer, S. M.

doi:10.1109/twc.2015.2409180

Cited by 24 publications

(9 citation statements)

References 30 publications

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“…The channel assumption in the ODFMA symbol was constant in this paper 9 while this novel scheme has the capability of adapting the changes occurring in the channels surrounded by the OFDMA symbol. Also, resampling was not essential for this GPF‐based scheme, which was one of a significant advantage when compared with Kim et al 9 In these two schemes, 11,12 there was an issue in terms of considering CFO time variation over the distinct OFDMA symbols and also in offering tracking competences. It was overwhelmed using these two novel schemes.…”

Section: Related Workmentioning

confidence: 98%

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

Rani¹,

Sridevi²

2020

Int J Communication

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Filter bank multicarrier (FBMC) based on offset quadrature amplitude modulation (OQAM) is regarded as the prospective system for mobile communication. To utilize the potential of the system, the issues like carrier frequency offset have to be investigated extensively. The modulations in the multicarrier system draw a great interest among researchers and engineers in the telecommunication field. Despite the OFDM advantages, significant disadvantages in the system enable researches to approach into efficiently evolved FBMC system. In this paper, the detrimental effects caused by carrier frequency offset on the received signal is considered. Carrier Frequency Offset (CFO) compensation has been effectively undertaken by modified Kalman filtering. The compensation technique not only depends on the specific FBMC modification but also influenced by the selected receiver. A comprehensive analysis of the frequency offset response under three conditions (without offset, with offset, and the compensated samples) has been performed in the proposed system with performance measures as bit error rate (BER) and signal-to-noise ratio. 9 CFO compensation is analyzed by varying the channel characteristics (additive white Gaussian noise [AWGN] and Rayleigh Fading) and subcarrier filtering (prototype filter, Gaussian filter, and root-raised coefficients). From the overall analysis, it is observed that the BER varies from 0.1 to 0.001.

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Section: Related Workmentioning

confidence: 98%

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

Rani¹,

Sridevi²

2020

Int J Communication

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“…However, the proposed estimator requires the knowledge of channel statistics, which is not practical. Thus, in [341], the authors propose an ML-based estimator that does not require channel knowledge. They deployed Chebyshev polynomials of the first kind as the basis set for tracking the time variation of the channels.…”

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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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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“…29 With the above notions in mind, we can calculate the maximum width of the banded structure as 29 With the above notions in mind, we can calculate the maximum width of the banded structure as…”

Section: Simplified Iterative Equalizer With Interference Cancellatiomentioning

confidence: 99%

“…, where d is a small positive integer, and T s is the sampling time. 29 With the above notions in mind, we can calculate the maximum width of the banded structure as…”

Section: Simplified Iterative Equalizer With Interference Cancellatiomentioning

confidence: 99%

Low complexity equalization techniques using interference cancellation for SC‐FDMA uplink systems under doubly selective channels

Muneer

Al-Rayif

Ijyas

2018

Int J Communication

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This paper addresses the important and challenging issue of joint equalization of carrier frequency offsets (CFOs), timing offsets, and doubly selective channels (DSCs) of multiple users in a SC-FDMA uplink. Low complexity, iterative equalizer solutions are proposed, which give impressive performance under rapidly varying channel conditions. We propose three different equalization schemes that make use of iterative interference cancellation technique named as iterative equalizer with interference cancellation (IEIC), iterative equalizer with interference cancellation and decoding (IEICD), and simplified iterative equalizer with interference cancellation and decoding (SIEICD). The SIEICD method proposed is a simplified version of the IEICD, and it makes use of the only significant elements in the receive signal model in the matrix form. The superior performance of the methods in high mobility conditions with several users is amply demonstrated through extensive simulation studies. KEYWORDS equalization over DSC, joint equalization, single carrier frequency division multiple access SC-FDMA uplink, time and frequency selective channel Abbreviations: IEIC, iterative equalizer with interference cancellation; IEICD, iterative equalizer with interference cancellation; SC-FDMA, single carrier frequency division multiple access; SIEICD, simplified iterative equalizer with interference cancellation. Int J Commun Syst. 2018;31:e3819.wileyonlinelibrary.com/journal/dac

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Joint ML Estimation of CFO and Channel, and a Low Complexity Turbo Equalization Technique for High Mobility OFDMA Uplinks

Cited by 24 publications

References 30 publications

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

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

Low complexity equalization techniques using interference cancellation for SC‐FDMA uplink systems under doubly selective channels

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