:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Minghui, Gao, Zhen
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Artificial Intelligence Information Theory Machine Learning
Online Access:	https://arxiv.org/abs/2509.19312
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
by: Jin, Zhenzhou, et al.
Published: (2026)

Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network
by: Wu, Minghui, et al.
Published: (2024)

DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
by: Deng, Bin, et al.
Published: (2025)

ToDMA: Large Model-Driven Token-Domain Multiple Access for Semantic Communications
by: Qiao, Li, et al.
Published: (2025)

Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
by: Chen, Jiazheng, et al.
Published: (2023)

Benchmarking Semantic Communications for Image Transmission Over MIMO Interference Channels
by: Wang, Yanhu, et al.
Published: (2024)

Universal Auto-encoder Framework for MIMO CSI Feedback
by: So, Jinhyun, et al.
Published: (2024)

Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
by: Ammar, Hussein A., et al.
Published: (2025)

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

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

Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)

Deep Learning-based Implicit CSI Feedback in Massive MIMO
by: Chen, Muhan, et al.
Published: (2021)

Structure-Enhanced DRL for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
by: Guo, Jiajia, et al.
Published: (2022)

GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communications
by: Jin, Zhenzhou, et al.
Published: (2024)

A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems
by: Zhou, Binggui, et al.
Published: (2023)

Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning
by: Mitra, Purbesh, et al.
Published: (2025)

Belief Information based Deep Channel Estimation for Massive MIMO Systems
by: Xu, Jialong, et al.
Published: (2024)

BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction
by: Catak, Ferhat Ozgur, et al.
Published: (2025)

Hybrid Federated Learning for Noise-Robust Training
by: Kim, Yongjun, et al.
Published: (2026)

Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI
by: Chou, Po-Heng, et al.
Published: (2025)

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

Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
by: Zhou, Binggui, et al.
Published: (2023)

A Machine Learning based Hybrid Receiver for 5G NR PRACH
by: Singh, Rohit, et al.
Published: (2024)

Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach
by: Chen, Jiazheng, et al.
Published: (2025)

Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
by: Yu, Wentao, et al.
Published: (2026)

A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems
by: Di Gennaro, Giovanni, et al.
Published: (2024)

Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
by: Mamillapalli, Pujitha, et al.
Published: (2026)

Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
by: Yang, Dongdong, et al.
Published: (2025)

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
by: Zhou, Binggui, et al.
Published: (2024)

Joint Sensing and Semantic Communications with Multi-Task Deep Learning
by: Sagduyu, Yalin E., et al.
Published: (2023)

SING: Semantic Image Communications using Null-Space and INN-Guided Diffusion Models
by: Chen, Jiakang, et al.
Published: (2025)

Discrete-Space Generative AI Pipeline for Semantic Transmission of Signals
by: Kokalj-Filipovic, Silvija, et al.
Published: (2026)

SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
by: Lin, Wensheng, et al.
Published: (2023)

Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems
by: Sun, Gangle, et al.
Published: (2025)

Asynchronous Cell-Free Massive MIMO-OFDM: Mixed Coherent and Non-Coherent Transmissions
by: Li, Guoyu, et al.
Published: (2024)

Model-based Implicit Neural Representation for sub-wavelength Radio Localization
by: Chatelier, Baptiste, et al.
Published: (2025)

Centimeter Positioning Accuracy using AI/ML for 6G Applications
by: Kotturi, Sai Prasanth, et al.
Published: (2024)

A Survey on Integrated Sensing, Communication, and Computation
by: Wen, Dingzhu, et al.
Published: (2024)

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT
by: Zhu, Xin, et al.
Published: (2024)