Adaptive Demodulation for Wireless Systems in the Presence of Frequency-Offset Estimation Errors

Rahbari, H; Siyari, P; Krunz, M; Jerry Park, JM

Adaptive Demodulation for Wireless Systems in the Presence of Frequency-Offset Estimation Errors

Rahbari, H Siyari, P Krunz, M Jerry Park, JM

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE INFOCOM, 2018, 2018-April pp. 1592 - 1600
Issue Date:: 2018-10-08

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Field	Value	Language
dc.contributor.author	Rahbari, H	en_US
dc.contributor.author	Siyari, P	en_US
dc.contributor.author	Krunz, M	en_US
dc.contributor.author	Jerry Park, JM	en_US
dc.date.issued	2018-10-08	en_US
dc.identifier.citation	Proceedings - IEEE INFOCOM, 2018, 2018-April pp. 1592 - 1600	en_US
dc.identifier.isbn	9781538641286	en_US
dc.identifier.issn	0743-166X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132885
dc.description.abstract	© 2018 IEEE. Carrier frequency offset (CFO) arises from the intrinsic mismatch between the operating frequencies of the transmitter and the receiver, as well as their relative speeds (i.e., Doppler effect). Despite advances in CFO estimation techniques, estimation errors are still present. Residual CFO creates time-varying phase error. Modern wireless systems, including WLANs, 5G cellular systems, and satellite communications, use high-order modulation schemes, which are characterized by dense constellation maps. Accounting for the phase error is critical for the demodulation performance of such schemes. In this paper, we analyze the post-estimation probability distribution of residual CFO and use it to develop a CFO-aware demodulation approach for a set of modulation schemes (e.g., QAM and APSK). For a given distribution of the residual CFO, symbols with larger amplitudes are less densely distributed on the constellation map. We explore one important application of our adaptive demodulation approach in the context of PHY-layer security, and more specifically modulation obfuscation (MO) mechanisms. In such mechanisms, the transmitter attempts to hide the modulation order of a frame's payload from eavesdroppers, which could otherwise exploit such information to breach user privacy or launch selective attacks. We go further and complement our CFO-aware demodulation scheme by optimizing the design of a low-complexity MO technique with respect to phase errors. Our results show that when combined, our CFO-aware demodulation and optimized MO techniques achieve up to 5 dB gain over conventional demodulation schemes that are not obfuscated and are oblivious to residual CFO.	en_US
dc.relation.ispartof	Proceedings - IEEE INFOCOM	en_US
dc.relation.isbasedon	10.1109/INFOCOM.2018.8485922	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Adaptive Demodulation for Wireless Systems in the Presence of Frequency-Offset Estimation Errors	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-April	en_US
utslib.for	080503 Networking and Communications	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-April	en_US

Abstract:

© 2018 IEEE. Carrier frequency offset (CFO) arises from the intrinsic mismatch between the operating frequencies of the transmitter and the receiver, as well as their relative speeds (i.e., Doppler effect). Despite advances in CFO estimation techniques, estimation errors are still present. Residual CFO creates time-varying phase error. Modern wireless systems, including WLANs, 5G cellular systems, and satellite communications, use high-order modulation schemes, which are characterized by dense constellation maps. Accounting for the phase error is critical for the demodulation performance of such schemes. In this paper, we analyze the post-estimation probability distribution of residual CFO and use it to develop a CFO-aware demodulation approach for a set of modulation schemes (e.g., QAM and APSK). For a given distribution of the residual CFO, symbols with larger amplitudes are less densely distributed on the constellation map. We explore one important application of our adaptive demodulation approach in the context of PHY-layer security, and more specifically modulation obfuscation (MO) mechanisms. In such mechanisms, the transmitter attempts to hide the modulation order of a frame's payload from eavesdroppers, which could otherwise exploit such information to breach user privacy or launch selective attacks. We go further and complement our CFO-aware demodulation scheme by optimizing the design of a low-complexity MO technique with respect to phase errors. Our results show that when combined, our CFO-aware demodulation and optimized MO techniques achieve up to 5 dB gain over conventional demodulation schemes that are not obfuscated and are oblivious to residual CFO.

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http://hdl.handle.net/10453/132885