  Future wireless communication systems must simultaneously address multiple
challenges to ensure accurate data detection, deliver high Quality of Service
(QoS), adding enable a high data transmission with low system design.
Additionally, they need to reduce energy consumption and latency without
increasing system complexity. Orthogonal Frequency Division Multiplexing (OFDM)
is a commonly used waveform in 4G and 5G systems, it has limitations in
handling significant delay and Doppler spread in high mobility scenarios. To
overcome these weaknesses, a novel waveform named Orthogonal Time Frequency
Space (OTFS) has been proposed, which aims to improve upon OFDM by closely
matching signals to channel behavior. In this study, we propose a novel
strategy that enables operators to dynamically select the best waveform based
on estimated mobile user parameters. We use an Integrated Radar Sensing and
Communication System (ISAC) to estimate delay and Doppler, as well as speed and
range. This approach allows the base station to adapt to the mobile target,
thereby enhancing the performance of wireless communication systems in high
mobility and low complexity scenarios. Simulation results demonstrate the
effectiveness of our proposed approach and show that it outperforms existing
methods.
