Naikoti, A and Chockalingam, A (2022) Performance Analysis of OTFS with Imperfect Delay-Doppler Channel State Information. In: 5th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, 19 - 22 June 2022, Helsinki.
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Abstract
In this paper, we analyze the effect of imperfect delay-Doppler channel state information (CSI) on the bit error rate (BER) performance of orthogonal time frequency space (OTFS) modulation. We carry out the BER analysis when a mismatched maximum-likelihood (ML) detector is used, i.e., when an estimated channel matrix is used for detection in place of the true channel matrix. We derive an exact expression for the pairwise error probability (PEP) using the characteristic function of the decision statistic. Using the PEP expression, we obtain an upper bound on the BER. Our results show that the BER bound is tight at high SNRs. We also obtain the decision rule for the true ML detector with imperfect CSI, which takes into account the delay-Doppler channel estimation error statistics. We quantify the performance gap between the true ML detector and the mismatched ML detector through simulations. © 2022 IEEE.
Item Type: | Conference Paper |
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Publication: | IEEE Vehicular Technology Conference |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Bit error rate; Block codes; Channel estimation; Channel state information; Error statistics; Maximum likelihood estimation; Signal to noise ratio; Trellis codes, Bit error rate analysis; Channel estimation error; Delay-dopple domain; Doppler; Estimation errors; Maximum likelihood detectors; Mismatched and true maximum-likelihood detector; Orthogonal time frequency space modulation; Pairwise error probability; Time-frequency space, Modulation |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 06 Oct 2022 11:06 |
Last Modified: | 06 Oct 2022 11:06 |
URI: | https://eprints.iisc.ac.in/id/eprint/77254 |
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