RSS map-assisted MIMO channel estimation in the upper mid-band under pilot constraints

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Javid, Alireza, González-Prelcic, Nuria
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Signal Processing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Environment-Aware MIMO Channel Estimation in Pilot-Constrained Upper Mid-Band Systems
di: Javid, Seyed Alireza, et al.
Pubblicazione: (2025)

Joint UE positioning and distributed sensing in the upper mid-band exploiting virtual apertures
di: Mesforush, Soroush, et al.
Pubblicazione: (2025)

Learning to Localize with Attention: from sparse mmWave channel estimates from a single BS to high accuracy 3D location
di: Chen, Yun, et al.
Pubblicazione: (2023)

Model-based learning for joint channel estimationand hybrid MIMO precoding
di: Klaimi, Nay, et al.
Pubblicazione: (2025)

Hybrid Precoding and Combining for mmWave Full-Duplex Joint Radar and Communication Systems under Self-Interference
di: Bayraktar, Murat, et al.
Pubblicazione: (2023)

Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul
di: Bordbar, Alireza, et al.
Pubblicazione: (2024)

Semi-Gridless Variational Bayes Channel Estimation in XL-MIMO: Near-Field Modeling and Inference
di: Luu, Van-Chung, et al.
Pubblicazione: (2026)

Enhancing Diffusion Model Guidance through Calibration and Regularization
di: Javid, Seyed Alireza, et al.
Pubblicazione: (2025)

Tensor-based modeling/estimation of static channels in IRS-assisted MIMO systems
di: Benício, Kenneth B. A., et al.
Pubblicazione: (2023)

Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection
di: Trajdos, Pawel, et al.
Pubblicazione: (2025)

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

A Hybrid Model/Data-Driven Solution to Channel, Position and Orientation Tracking in mmWave Vehicular Systems
di: Chen, Yun, et al.
Pubblicazione: (2025)

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

A Transformer Inspired AI-based MIMO receiver
di: Rácz, András, et al.
Pubblicazione: (2025)

EqDeepRx: Learning a Scalable MIMO Receiver
di: Honkala, Mikko, et al.
Pubblicazione: (2026)

Over-the-Air Inference over Multi-hop MIMO Networks
di: Bian, Chenghong, et al.
Pubblicazione: (2025)

Downlink MIMO Channel Estimation from Bits: Recoverability and Algorithm
di: Shrestha, Rajesh, et al.
Pubblicazione: (2024)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
di: Rashnu, Alireza, et al.
Pubblicazione: (2024)

Physically constrained unfolded multi-dimensional OMP for large MIMO systems
di: Klaimi, Nay, et al.
Pubblicazione: (2026)

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation
di: Fesl, Benedikt, et al.
Pubblicazione: (2024)

Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
di: Kasalaee, Ghazal, et al.
Pubblicazione: (2025)

Multicarrier ISAC: Advances in Waveform Design, Signal Processing and Learning under Non-Idealities
di: Koivunen, Visa, et al.
Pubblicazione: (2024)

Accelerated training of Gaussian processes using banded square exponential covariances
di: Ehrhardt, Emily C., et al.
Pubblicazione: (2026)

Interference-Aware Multiuser Hybrid Precoding for Coexistence with LEO Satellite Communication
di: Razavi, Nima, et al.
Pubblicazione: (2025)

Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems
di: Xiao, Qikai, et al.
Pubblicazione: (2026)

VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
di: Razavikia, Saeed, et al.
Pubblicazione: (2025)

ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems
di: Son, Do Hai, et al.
Pubblicazione: (2024)

Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
di: Momen-Tayefeh, Mehrdad, et al.
Pubblicazione: (2026)

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
di: Meng, Kuo, et al.
Pubblicazione: (2024)

Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
di: Elkeshawy, Ali, et al.
Pubblicazione: (2025)

Joint Multi-Target Detection-Tracking in Cognitive Massive MIMO Radar via POMCP
di: Bouhou, Imad, et al.
Pubblicazione: (2025)

Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
di: Stylianopoulos, Kyriakos, et al.
Pubblicazione: (2025)

A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
di: Brüsch, Thea, et al.
Pubblicazione: (2024)

A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
di: Karkan, Ali Hasanzadeh, et al.
Pubblicazione: (2026)

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
di: Oh, Myeung Suk, et al.
Pubblicazione: (2021)

Towards Smarter Sensing: 2D Clutter Mitigation in RL-Driven Cognitive MIMO Radar
di: Umra, Adam, et al.
Pubblicazione: (2025)

Distributed Machine Learning Approach for Low-Latency Localization in Cell-Free Massive MIMO Systems
di: Kumar, Manish, et al.
Pubblicazione: (2025)

Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing
di: Jere, Shashank, et al.
Pubblicazione: (2024)

U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
di: Li, Xiaojie, et al.
Pubblicazione: (2026)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
di: Izadinasab, Kazem, et al.
Pubblicazione: (2024)