Channel Estimation

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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SNR-Gated LSTM-Conditioned Diffusion Model for MIMO Channel Estimation
Oct 6, 2026Jixing Zhou, Xinming HuangChannel Estimation Conditional Diffusion Models
Worcester Polytechnic Institute Worcester, MA, USA
Mean Spatial Frequency Decoupling for Learning-Based Uplink-to-Downlink Covariance Conversion in FDD Massive MIMO
Sep 30, 2026Melih Can ZerinChannel Estimation Covariance Estimation
Department of Electrical and Electronics Engineering Middle East Technical University Ankara, Türkiye
Multi-Agent Orchestration of 3GPP Channel Estimators
Sep 24, 2026I. Zakir Ahmed, Hamid SadjadpourAlgorithm Selection Multi-Agent Orchestration
Department of Electrical and Computer Engineering University of California, Santa Cruz
CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems
Sep 14, 2026Ruilin Wang, Xiaodai DongComplex-Valued Neural Networks Wireless Communications
Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation
Sep 12, 2026Abdul Karim Gizzini, Yahia MedjahdiEfficient Neural Network Inference Explainable Artificial Intelligence
University of Paris-Est Cr´eteil (UPEC), LISSI/TincNET, F-94400, Vitry-sur-Seine, France. · IMT Nord Europe, Institut Mines T´el´ecom, Centre for Digital Systems, F-59653 Villeneuve d’Ascq, France.
MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation
Aug 5, 2026Blessed Guda, Kayley Sze, Carlee Joe-WongWireless Foundation Models Wireless Localization
Carnegie Mellon University Pittsburgh, USA
Neural Network-Assisted CLEAN for Channel Modeling in Low-SNR Regimes
Jul 29, 2026Chaofan Deng, Linyu Sun, Jaeho Lee +1Wireless Communications Channel Estimation
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Hybrid-Field Sparse Channel Representation and Recovery for XL-RIS-Assisted mmWave MIMO Systems
Jul 26, 2026Wenkai Liu, Nan Ma, Jianqiao Chen +2Sparse Recovery Reconfigurable Intelligent Surfaces
Beijing University of Posts and Telecommunications, Beijing 100876, China · Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen 518055, China · ZGC Institute of Ubiquitous-X Innovation and Applications, Beijing 100876, China
Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications
Jul 26, 2026Wenkai Liu, Nan Ma, Jianqiao Chen +3Flow Matching Semantic Communication
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · ZGC Institute of Ubiquitous-X Innovation and Applications, Beijing 100876, China · Cooperative Medianet Innovation Center (CMIC) and the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Message Passing Based Two-Timescale Bayesian Learning for Joint Channel and Memory Hardware Impairments Tracking
Jul 2, 2026Wei Xu, An LiuBayesian Filtering Channel Estimation
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Brownian Bridge Diffusion-Based Joint Channel Estimation and Data Detection for Jamming-Resilient Receivers
Jun 27, 2026Honghan She, Yufan Cheng, Tieming Sun +3Wireless Communications Channel Estimation
National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China
A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation
Jun 15, 2026Marco Skocaj, Lukas Eller, Mate BobanWireless Communications Channel Estimation
All authors are with the Advanced Wireless Technology Laboratory, Huawei Heisenberg Research Centre, Munich, Germany.
Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G
Jun 12, 2026Chenyu Zhang, Xinchen Lyu, Chenshan Ren +2Wireless Foundation Models Representation Learning
National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China · Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing 100081, China · China Telecom Corporation Limited Gansu Branch, Gansu 730000, China
REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation
Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelFeature Attribution OOD Generalization
Faculty of Engineering, North-West University, South Africa · Centre for Artificial Intelligence Research, South Africa · National Institute for Theoretical and Computational Sciences, South Africa
ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias
May 29, 2026Zhibin Zhang, Robert Potekhin, Ziwei Wan +2Transformer Length Generalization
Moscow Institute of Physics and Technology (State University), Moscow, Russia · Yangtze Delta Region Academy, Beijing Institute of Technology (Jiaxing), Jiaxing 314019, China · School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Networks
May 29, 2026Bruno De Filippo, Carla Amatetti, Alessandro Vanelli-Coralli6G Networks Wireless Communications
Department of Electrical, Electronic, and Information Engineering (DEI), Univ. of Bologna, Bologna, Italy
GeoGS-CE: Learning Delay--Beam Channel Priors with 3D Gaussians for High-Mobility Scenarios
May 15, 2026Yumeng Zhang, Jiajia Guo, Chaozheng Wen +2Wireless Communications Radio Propagation Modeling
iComAI Lab, HKUST
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
May 14, 2026Mehrdad Momen-Tayefeh, Mehrshad Momen-Tayefeh, Maryam SabbaghianWireless Communications Channel Estimation
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran · Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
May 12, 2026Dmitry Artemasov, Alexander Shmatok, Kirill Andreev +3Recurrent Transformers Wireless Communications
Center for Next Generation Wireless and IoT, Skolkovo Institute of Science and Technology, Moscow, Russia · Department of IEOR, Indian Institute of Technology Bombay, India · Faculty of Computer and Engineering Sciences, Innopolis University, Innopolis, Russia
SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation
May 3, 2026Shengzhe Lyu, Yuhan She, Di Duan +5Wireless Communications Hardware-Software Co-Design
Department of Computer Science, City University of Hong Kong, Hong Kong · Department of Electrical Engineering, City University of Hong Kong, Hong Kong · Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong +2
Data driven approach for Outdoor Channel Prediction in 5G and Beyond
May 3, 2026A. Sathi Babu, V. Udaya Sankar, Vishnu Ram OVWireless Communications Channel Estimation
Department of ECE SRM University AP Guntur, India · Independent Research Consultant Bengaluru, India
Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
Apr 23, 2026Junjie Zhao, Guangming Liang, Dongzhu Liu +1Flow Matching Efficient Inference
College of Electronic Information and Optical Engineering, Nankai University · School of Computing Science, University of Glasgow · School of Natural and Computing Science, University of Aberdeen
Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memory
Nov 21, 2025Wangqian Chen, Junting Chen, Shuguang CuiWireless Communications Wireless Localization
School of Science and Engineering, and the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
Jan 25, 2021Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim +2Channel Estimation
Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA · Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

SNR-Gated LSTM-Conditioned Diffusion Model for MIMO Channel Estimation

Jixing Zhou, Xinming Huang

Worcester Polytechnic Institute Worcester, MA, USA

Channel Estimation Conditional Diffusion Models Diffusion Models Diffusion Model Inference Acceleration

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Accurate and low latency channel estimation is critical for modern MIMO systems, particularly under mobility, where channels exhibit structured sparsity and strong temporal correlation. This paper proposes a time-series conditioned diffusion framework for channel estimation that performs denoising in the angular domain. Starting from least squares (LS) observations, we train a diffusion denoiser whose conditioning information is encoded by a long short-term memory (LSTM) network over a short observation sequence, enabling the model to exploit temporal dynamics beyond per-snapshot estimation. To robustly balance observation fidelity and learned generative priors across a wide signal-to-noise ratio (SNR) range, we introduce a learnable SNR-gated late-fusion shortcut that injects the network input into the final decoding stage through a sigmoid gate with trainable center and scale. To reduce inference latency, we adopt deterministic denoising diffusion implicit model (DDIM) style reverse updates with SNR-adaptive truncation and step allocation, which significantly reduces the number of reverse diffusion steps at high SNR while maintaining strong performance in low SNR regimes. Simulations on time-evolving standardized channel models demonstrate that the proposed method achieves consistent performance gains over existing diffusion-based channel estimation baselines, while retaining low latency through SNR-adaptive inference.

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