An hybrid framework OTFS OFDM based on mobile speed estimation
Amina Darghouthi, Abdelhakim Khlifi, Hmaied Shaiek, Fatma Ben Salah, and Belgacem Chibani

TL;DR
This paper introduces a hybrid OTFS-OFDM framework with a speed estimation-based switching strategy and Doppler-aware radar integration to improve high mobility wireless communication performance.
Contribution
It proposes a dynamic waveform selection method based on mobile speed estimation and Doppler data, combining OTFS and OFDM to optimize performance and complexity in high mobility scenarios.
Findings
Enhanced system performance in high mobility conditions.
Effective Doppler estimation using integrated sensing radar.
Reduced complexity through hybrid waveform design.
Abstract
The Future wireless communication systems face the challenging task of simultaneously providing high quality of service (QoS) and broadband data transmission, while also minimizing power consumption, latency, and system complexity. Although Orthogonal Frequency Division Multiplexing OFDM has been widely adopted in 4G and 5G systems, it struggles to cope with the significant delay and Doppler spread in high mobility scenarios. To address these challenges, a novel waveform called Orthogonal Time Frequency Space OTFS has emerged, aiming to outperform OFDM by closely aligning signals with the channel behaviour. In this paper, we propose a switching strategy that empowers operators to select the most appropriate waveform based on the estimated speed of the mobile user. This strategy enables the base station to dynamically choose the waveform that best suits the mobile users speed.…
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