Liu, Haibo and Luo, Qu and Liu, Zilong and Luo, Shan and Xiao, Pei and Lin, Rongping (2024) BER Analysis of SCMA-OFDM Systems in the Presence of Carrier Frequency Offset. IEEE Communications Letters, 28 (1). pp. 213-217. DOI https://doi.org/10.1109/lcomm.2023.3339469 (In Press)
Liu, Haibo and Luo, Qu and Liu, Zilong and Luo, Shan and Xiao, Pei and Lin, Rongping (2024) BER Analysis of SCMA-OFDM Systems in the Presence of Carrier Frequency Offset. IEEE Communications Letters, 28 (1). pp. 213-217. DOI https://doi.org/10.1109/lcomm.2023.3339469 (In Press)
Liu, Haibo and Luo, Qu and Liu, Zilong and Luo, Shan and Xiao, Pei and Lin, Rongping (2024) BER Analysis of SCMA-OFDM Systems in the Presence of Carrier Frequency Offset. IEEE Communications Letters, 28 (1). pp. 213-217. DOI https://doi.org/10.1109/lcomm.2023.3339469 (In Press)
Abstract
Sparse code multiple access (SCMA) building upon orthogonal frequency division multiplexing (OFDM) is a promising wireless technology for supporting massive connectivity in future machine-type communication networks. However, the sensitivity of OFDM to carrier frequency offset (CFO) poses a major challenge because it leads to orthogonality loss and incurs intercarrier interference (ICI). In this paper, we investigate the bit error rate (BER) performance of SCMA-OFDM systems in the presence of CFO over both Gaussian and multipath Rayleigh fading channels. We first model the ICI in SCMA-OFDM as Gaussian variables conditioned on a single channel realization for fading channels. The BER is then evaluated by averaging over all codeword pairs considering the fading statistics. Through simulations, we validate the accuracy of our BER analysis and reveal that there is a significant BER degradation for SCMAOFDM systems when the normalized CFO exceeds 0.02.
Item Type: | Article |
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Uncontrolled Keywords: | Sparse code multiple access (SCMA), orthogonal frequency division multiplexing (OFDM), carrier frequency offset (CFO), bit error rate (BER) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 04 Dec 2023 12:56 |
Last Modified: | 30 Oct 2024 20:29 |
URI: | http://repository.essex.ac.uk/id/eprint/37020 |
Available files
Filename: SCMA_CFO_1201.pdf