Problem
Research questions and friction points this paper is trying to address.
Delay-Doppler channel estimation
pilot-free
spectral efficiency
doubly-selective channels
data-driven
Delay-Doppler Channel Estimation using Arbitrarily Modulated Data Transmissions
🤖 AI Summary
This work proposes a novel channel estimation method for delay-Doppler communication and sensing systems that leverages arbitrarily modulated data symbols, eliminating the need for dedicated pilot frames traditionally used to track time-varying channels. By adopting a data-driven algorithm compatible with diverse 6G modulation waveforms, the approach enables pilot-free channel tracking directly in the delay-Doppler domain for the first time. The method is validated under doubly selective channel conditions and demonstrates substantial improvements over conventional pilot-based schemes, achieving approximately 1.8× higher spectral efficiency across multiple 6G modulation formats. This advancement significantly reduces signaling overhead while enhancing system flexibility and resource utilization.
📝 Abstract
Conventional delay-Doppler (DD) communication and sensing systems require transmitting pilot frames at every channel coherence time interval in order to keep track of channel variations at the cost of spectral efficiency. In this paper, we propose an approach to utilize data transmissions modulated using arbitrary waveforms for DD channel estimation without requiring pilot transmissions in every coherence time interval. Numerical evaluation over practical doubly-selective channel models demonstrate $\sim 1.8 \times$ improvement in spectral efficiency with our proposed data-based approach over conventional pilot-based approaches across various 6G modulation schemes.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Delay-Doppler channel estimation
pilot-free
spectral efficiency
arbitrary modulation
data-driven
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