Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach

arXiv:2609.33605 · cs.LG, cs.IT, math.IT · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.IT, math.IT

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/muahkim/ISAC-ML-Toeplitz-Clarkes

Terminology

• Cramer-Rao Lower Bound — 4× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Probabilistic Constellation Shaping for OFDM-Based ISAC Signaling
• MinGRU-Based Encoder for Turbo Autoencoder Frameworks

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks