Cover Image

Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Askari, Mohammad Taha, Lampe, Lutz, Ghazisaeidi, Amirhossein
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Information Theory Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Probabilistic Shaping: Joint Distribution Learning for Optical Fiber Communications
by: Askari, Mohammad Taha, et al.
Published: (2025)

Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels
by: Askari, Mohammad Taha, et al.
Published: (2026)

Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping
by: Askari, Mohammad Taha, et al.
Published: (2024)

Probabilistic Shaping for Nonlinearity Tolerance
by: Askari, Mohammad Taha, et al.
Published: (2024)

Complexity-Aware Theoretical Performance Analysis of SDM MIMO Equalizers
by: Gholamipourfard, Roya, et al.
Published: (2024)

Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging
by: Ginige, Nipuni, et al.
Published: (2024)

Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels
by: Vahapoglu, Cemil, et al.
Published: (2025)

Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
by: Carpi, Fabrizio, et al.
Published: (2024)

The Query/Hit Model for Sequential Hypothesis Testing
by: Shariatnasab, Mahshad, et al.
Published: (2025)

Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
by: Dhara, Prasenjit, et al.
Published: (2026)

On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
by: Chen, Chin-Hung, et al.
Published: (2024)

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
by: Qu, Linping, et al.
Published: (2024)

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
by: Taherpour, Amirhossein, et al.
Published: (2025)

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
by: Liang, Guangming, et al.
Published: (2025)

CSI Compression using Channel Charting
by: Chatelier, Baptiste, et al.
Published: (2024)

Variational Source-Channel Coding for Semantic Communication
by: Feng, Yulong, et al.
Published: (2024)

Adaptive Source-Channel Coding for Semantic Communications
by: Li, Dongxu, et al.
Published: (2025)

Application of Transformers for Nonlinear Channel Compensation in Optical Systems
by: Hamgini, Behnam Behinaein, et al.
Published: (2023)

DM-SBL: Channel Estimation under Structured Interference
by: Wang, Yifan, et al.
Published: (2024)

Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics
by: Freirich, Dror, et al.
Published: (2024)

Enhancing Channel Estimation in Quantized Systems with a Generative Prior
by: Fesl, Benedikt, et al.
Published: (2024)

Decision Feedback In-Context Symbol Detection over Block-Fading Channels
by: Fan, Li, et al.
Published: (2024)

Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff
by: Qin, Zijun, et al.
Published: (2026)

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
by: Zhao, Junjie, et al.
Published: (2026)

A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025)

Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
by: Karanov, Boris, et al.
Published: (2024)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
by: Lee, Taekyun, et al.
Published: (2024)

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
by: Schmid, Luca, et al.
Published: (2024)

Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks
by: Hu, Yaqi, et al.
Published: (2024)

Robust Blind Channel Estimation for Bursty Impulsive Noise with a Constrained EM Approach
by: Chen, Chin-Hung, et al.
Published: (2025)

Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information
by: Jin, Zhenzhou, et al.
Published: (2025)

CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
by: Zeng, Ye, et al.
Published: (2024)

CF-CGN: Channel Fingerprints Extrapolation for Multi-band Massive MIMO Transmission based on Cycle-Consistent Generative Networks
by: Xie, Chenjie, et al.
Published: (2024)

Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
by: Li, Dongxu, et al.
Published: (2024)

Neural Beamforming with Doppler-Aware Sparse Attention for High Mobility Environments
by: Vahapoglu, Cemil, et al.
Published: (2025)

Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
by: Li, Xiaolong, et al.
Published: (2025)

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
by: Lei, Eric, et al.
Published: (2024)

End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
by: Gümüs, Kadir, et al.
Published: (2019)

Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
by: Kwak, Hee-Youl, et al.
Published: (2024)