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January 24, 2026Journal of Computer Networks and Communications0 citationsOpen Access

Pilot‐Based Iterative Path Estimation and Maximum Ratio Combining (MRC)–Based Signal Detection of Orthogonal Time–Frequency Space (OTFS) Modulation for 6G in Fractional Doppler Channels

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EDEphrem Gelamite DemereZGZelalem Hailu Gebeyehu

Key Points

  • To investigate channel estimation and signal detection of OTFS in fractional Doppler channels with reduced complexity.
  • Utilized pilot-based iterative path estimation and maximum ratio combining (MRC) for signal detection.
  • Simulated the error rate performance under fractional Doppler conditions.
  • Evaluated the complexity based on average iterations needed for signal detection.
  • Achieved lower computational complexity in channel estimation and signal detection.
  • Demonstrated improved error rate performance in fractional Doppler environments.
  • Indicated a direct correlation between the number of iterations and detection accuracy.

Abstract

The sixth generation (6G) wireless networks are used to provide a large coverage, and also this generation needed to support different emerging applications in harsh areas with higher user equipment mobility. For the above case, a new modulation technique called orthogonal time–frequency space (OTFS) modulation has emerged as a promising technique to mitigate the challenges in higher‐Doppler channels. It is a two‐dimensional modulation scheme in which information symbols are encoded in the delay‐Doppler domain. For this case, the channel is also implemented in the delay‐Doppler domain. In this study, we investigate channel estimation and signal detection of OTFS for the case of fractional Doppler channels with lower computational complexity using pilot‐based iterative path estimation and maximum ratio combining (MRC) signal detection. We simulate the error rate performance of the investigated channel estimation and signal detection in a fractional Doppler shift. And also, we simulate the average iteration performance, indicating the complexity in terms of the number of iterations needed to detect the signal.

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Cite This Study

Demere et al. (2026) studied this question.

synapsesocial.com/papers/69746149bb9d90c67120b279https://doi.org/10.1155/jcnc/8837627
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