Shayanfar, Hamidreza, Saeedi-Sourck, Hamid, 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 However, the CFO estimates may get outdated for the uplink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 |
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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: | 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 |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13283 |
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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