A Uniform Pilot and Data Payload Optimization Framework for OTFS-Based ISAC
Borui Du, Yumeng Zhang, Christos Masouros, Bruno Clerckx

TL;DR
This paper proposes an optimized OTFS-based integrated radar and communication system that balances sensing and data transmission, improving performance and reducing latency through novel pilot and data symbol design.
Contribution
It introduces a joint optimization framework for OTFS DFRC signals, deriving new metrics and demonstrating enhanced sensing and communication performance over traditional methods.
Findings
Achieves at least 9.45 dB ISL suppression for sensing.
Gains 4.82 dB SINR ratio for communication.
Validates the approach through numerical analysis and simulations.
Abstract
The orthogonal time frequency space (OTFS) signal is considered a promising solution for high-mobility wireless environments. It manages Doppler effects by utilizing delay-Doppler (DD) domain processing. However, the relatively long OTFS frame duration could introduce considerable sensing or communication latency when radar and communication are performed separately. By operating in a dual-functional radar and communication (DFRC) mode, the OTFS system performs sensing and data transmission simultaneously, thereby reducing the resulting latency. Nevertheless, the optimal OTFS DFRC signal strategy remains insufficiently explored. This paper investigates the optimal signal design for OTFS DFRC systems, focusing on pilot symbol design and data symbol power allocation. Specifically, we derive a channel capacity lower bound metric for communication that considers channel estimation errors in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPAPR reduction in OFDM · Digital Filter Design and Implementation · Radar Systems and Signal Processing
