Iterative Joint Carrier Frequency Offset and Doubly Selective Channel Estimation in High-Mobility MIMO-OFDMA Uplink Using Oblique Projection

Muneer, P.; Sameer, S. M.

doi:10.1109/tvt.2015.2497741

Cited by 26 publications

(12 citation statements)

References 22 publications

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“…It is assumed that the DSC used in this study has a length of L = 6, with a corresponding power delay profile (PDP) of [0, − 5, − 10, − 15, − 18, − 20] dB and path delays [0, T s , .., (L − 1)T s ], where T s = T∕N. 28 The data bits are mapped as quadrature phase shift keying (QPSK) symbols and modulated accordingly. The channel coefficients are generated by making use of the Jake's model given in Zheng and Xiao.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Note that the combination of CFOs and ITOs along with the channel will make Γ k m diagonally dominant with a banded structure. 28 Hence, the matrix Γ m also exhibits the same banded structure with diagonally dominant entries. The proposed iterative technique starts by equalizing the received signal samples with highest Signal to Noise Ratio (SNR).…”

Section: Iterative Equalizer With Interference Cancellationmentioning

confidence: 88%

“…PDP) of [0, − 5, − 10, − 15, − 18, − 20] dB and path delays [0, T s , .., (L − 1)T s ], where T s = T∕N 28. The data bits are mapped as quadrature phase shift keying (QPSK) symbols and modulated accordingly.…”

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confidence: 99%

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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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Section: Simulation Resultsmentioning

confidence: 99%

Section: Iterative Equalizer With Interference Cancellationmentioning

confidence: 88%

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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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“…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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“…This is done to achieve minimum interference. On the other hand, MIMO techniques can enhance the spectral efficiency of OMA by using multiple transmit and receive antennas …”

Section: Taxonomy Of Multiple‐access Schemesmentioning

confidence: 99%

A survey and taxonomy on nonorthogonal multiple‐access schemes for 5G networks

Basharat

Ejaz

Naeem

et al. 2017

Trans Emerging Tel Tech

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The intensity in the requirements of Internet of Things and mobile internet makes the efficiency of fifth-generation (5G) wireless communications very challenging to achieve. Accomplishing the drastically increasing demand of massive connectivity and high spectral efficiency is a strenuous task. Because of the very large number of devices, 5G wireless communication systems are inevitable to satisfy the traffic requirements. Recently, nonorthogonal multiple-access (NOMA) schemes are immensely being explored to address the challenges in 5G, which include effective bandwidth utilization, support for a massive number of devices, and low latency.This paper provides the reader with a holistic view of multiple-access schemes, methods, and strategies for optimization in NOMA. First, we discuss the taxonomy of multiple-access schemes in the literature; then, we provide a detailed discussion of objectives, constraints, problem types, and solution approaches for NOMA. This paper also discusses the decoding methods and key performance indicators used in NOMA. Finally, we outline future research directions.

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Iterative Joint Carrier Frequency Offset and Doubly Selective Channel Estimation in High-Mobility MIMO-OFDMA Uplink Using Oblique Projection

Cited by 26 publications

References 22 publications

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

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

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

A survey and taxonomy on nonorthogonal multiple‐access schemes for 5G networks

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