Truncated Turbo Equalizer with SIC for OTFS
Citation:
P. S. Sanoopkumar, S. McWade and A. Farhang, "Truncated Turbo Equalizer with SIC for OTFS," 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, 2023, pp. 251-256Abstract:
Orthogonal time frequency space (OTFS) is a promising candidate waveform for the next generation wireless communication systems. OTFS places data in the delay-Doppler (DD) domain, which simplifies channel estimation in high-mobility scenarios. However, due to the 2-D convolution effect of the time-varying channel in the DD domain, equalization is still a challenge for OTFS. Existing equalizers for OTFS are either highly complex or they do not consider intercarrier interference present in high-mobility scenarios. Hence, in this paper, we propose a novel two-stage detection technique for coded OTFS systems. Our proposed detector brings orders of magnitude computational complexity reduction compared to existing methods. At the first stage, it truncates the channel by considering only the significant coefficients along the Doppler dimension and performs turbo equalization. To reduce the computational load of the turbo equalizer, our proposed method deploys the modified LSQR (mLSQR) algorithm. At the second stage, with only two successive interference cancellation (SIC) iterations, our propose detector removes the residual interference caused by channel truncation. To evaluate the performance of our proposed truncated turbo equalizer with SIC (TTE-SIC), we set the minimum mean squared error (MMSE) equalizer without channel truncation as a benchmark. Our simulation results show that the proposed TTE-SIC technique achieves about the same bit error rate (BER) performance as the benchmark.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
21/US/3757
Science Foundation Ireland (SFI)
19/FFP/7005(T)
Author's Homepage:
http://people.tcd.ie/afarhang
Author: Farhang, Arman
Sponsor:
Science Foundation Ireland (SFI)Science Foundation Ireland (SFI)
Other Titles:
IEEE Globecom Workshops (GC Workshops)Type of material:
Conference PaperAvailability:
Full text availableSubject (TCD):
Telecommunications , DIGITAL SIGNAL PROCESSING , Intelligent Vehicles , Signal processingDOI:
http://dx.doi.org/10.1109/GCWkshps58843.2023.10465128Metadata
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