Blind Carrier Frequency Offset Estimation Techniques for Next-Generation Multicarrier Communication Systems: Challenges, Comparative Analysis, and Future Prospects

Singh, S and Kumar, S and Majhi, S and Satija, U and Yuen, C (2024) Blind Carrier Frequency Offset Estimation Techniques for Next-Generation Multicarrier Communication Systems: Challenges, Comparative Analysis, and Future Prospects. In: IEEE Communications Surveys and Tutorials .

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Abstract

Frequency synchronization is essential to achieving the intended performance for single and multicarrier wireless systems. Blind techniques, which don't require prior channel knowledge or pilot symbols, are crucial for dynamic environments where self-adaptive synchronization is needed. A key objective of this paper is to provide the readers as well as the industry's professionals with a comprehensive understanding of the carrier frequency offset (CFO) problem in multicarrier communication systems like orthogonal frequency division multiplexing (OFDM), single carrier-frequency division multiple access (SC-FDMA), multiple input multiple output (MIMO)-OFDM, and MIMO-SC-FDMA. These waveforms are used in today's and future wireless communication systems such as wireless-fidelity (Wi-Fi), fifth-generation, and sixth-generation. Moreover, this paper also develops a taxonomy of the available solutions to address the CFO issue. We study blind techniques for CFO estimation presented in the recent literature and give potential future directions. We summarize various statistical methods and deep learning algorithms for CFO estimation and emphasize their advantages and limitations. We also incorporate the CFO impact on next-generation wireless systems such as orthogonal time frequency space and reconfigurable intelligent surface-assisted communication systems and provide a broader and deeper knowledge of the area. We provide simulation results of some existing estimators and their performance comparison in terms of mean square error for better understanding. Therefore, this paper is perfectly adapted to provide a comprehensive information source on blind CFO estimation techniques. © 1998-2012 IEEE.

Item Type:	Journal Article
Publication:	IEEE Communications Surveys and Tutorials
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the publishers.
Keywords:	Benchmarking; Blind equalization; Carrier communication; Channel estimation; Deep learning; Frequency allocation; Frequency estimation; Multicarrier modulation; Orthogonal frequency division multiplexing, Carrier frequency; Carrier frequency offsets; Frequency-division multiple access; Multiple input multiple output-orthogonal frequency division multiplexing/single carrier-frequency division multiple access; Multiple-input multiple-output orthogonal frequency-division multiplexing; Orthogonal frequency-division multiplexing; Orthogonal time frequency space; Reconfigurable; Reconfigurable intelligent surface; Single carrier; Single carrier-frequency division multiple access; Time-frequency space, Mean square error
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	29 Oct 2024 06:42
Last Modified:	29 Oct 2024 06:42
URI:	http://eprints.iisc.ac.in/id/eprint/86638

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