Shayanfar, Hamidreza and Saeedi-Sourck, Hamid and Farhang, Arman and Doyle, Linda E. (2018) Maximum-likelihood synchronization and channel estimation with multiuser detection in GFDMA. Transactions on Emerging Telecommunications Technologies, 29 (6). e3424. ISSN 2161-3915

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Abstract

Accurate estimation and correction of channel distortions and carrier frequency offset (CFO) are of a great importance in any multicarrier communication system. Hence, in this paper, we propose data-aided CFO and channel estimation techniques for both multiuser uplink and downlink of the generalized frequency division multiple access (GFDMA). Our proposed solutions jointly estimate the CFO and channel responses based on the maximum-likelihood criterion. To simplify the implementation of the proposed estimation algorithms, we suggest a preamble composed of two similar Zadoff-Chu training sequences in a generalized frequency division multiplexing block. It is worth mentioning that our proposed technique can estimate both integer and fractional CFO values without any limitation on the acquisition range of CFO. In the uplink phase, each user aligns its carrier frequency with the base station using the estimated CFO in the downlink. However, the CFO estimates may get outdated for the uplink transmission. Thus, residual CFOs may still remain in the received signal at the base station. While being trivial in the downlink, CFO correction is a challenging task in the uplink. Thus, we also propose a joint CFO correction and channel equalization technique for the uplink of GFDMA systems. Finally, we evaluate our proposed estimation and correction algorithms in terms of estimation mean square error and bit error rate performance through simulations.

Item Type:	Article
Additional Information:	Cite as: Shayanfar, H, Saeedi‐Sourck, H, Farhang, A, Doyle, LE. Maximum‐likelihood synchronization and channel estimation with multiuser detection in GFDMA. Trans Emerging Tel Tech. 2018; 29:e3424. https://doi.org/10.1002/ett.3424 . Funding information: Science Foundation Ireland (SFI); European Regional Development Fund, Grant/Award Number: 13/RC/2077
Keywords:	multiuser detection; GFDMA; channel distortions; carrier frequency offset;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	13283
Identification Number:	https://doi.org/10.1002/ett.3424
Depositing User:	Arman Farhang
Date Deposited:	24 Sep 2020 16:22
Journal or Publication Title:	Transactions on Emerging Telecommunications Technologies
Publisher:	Wiley
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), European Regional Development Fund
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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