:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Shi, Yuanming, Yang, Kai, Jiang, Tao, Zhang, Jun, Letaief, Khaled B.
Hōputu:	Preprint
I whakaputaina:	2020
Ngā marau:	Information Theory Machine Learning Signal Processing
Urunga tuihono:	https://arxiv.org/abs/2002.09668
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Sparse Optimization for Green Edge AI Inference
mā: Yang, Xiangyu, me ētahi atu.
I whakaputaina: (2020)

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
mā: Letaief, Khaled B., me ētahi atu.
I whakaputaina: (2021)

Edge Large AI Models: Collaborative Deployment and IoT Applications
mā: Wang, Zixin, me ētahi atu.
I whakaputaina: (2025)

Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
mā: Shi, Yuanming, me ētahi atu.
I whakaputaina: (2024)

A Survey on Integrated Sensing, Communication, and Computation
mā: Wen, Dingzhu, me ētahi atu.
I whakaputaina: (2024)

Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck
mā: Li, Hongru, me ētahi atu.
I whakaputaina: (2024)

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
mā: Qin, Hai-Long, me ētahi atu.
I whakaputaina: (2025)

On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI
mā: Chen, Xu, me ētahi atu.
I whakaputaina: (2023)

Performance Analysis of STAR-RIS-Assisted Cell-Free Massive MIMO Systems with Electromagnetic Interference and Phase Errors
mā: Qian, Jun, me ētahi atu.
I whakaputaina: (2024)

Collaborative Edge AI Inference over Cloud-RAN
mā: Zhang, Pengfei, me ētahi atu.
I whakaputaina: (2024)

Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
mā: Wang, Zhibin, me ētahi atu.
I whakaputaina: (2022)

Edge Large AI Models: Revolutionizing 6G Networks
mā: Wang, Zixin, me ētahi atu.
I whakaputaina: (2025)

STAR-RIS-Assisted Cell-Free Massive MIMO with Multi-antenna Users and Hardware Impairments Over Correlated Rayleigh Fading Channels
mā: Qian, Jun, me ētahi atu.
I whakaputaina: (2025)

Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions
mā: Wang, Zhe, me ētahi atu.
I whakaputaina: (2024)

Rethinking Mutual Coupling in Movable Antenna MIMO Systems
mā: Liao, Tianyi, me ētahi atu.
I whakaputaina: (2026)

Communication-Efficient Multi-Modal Edge Inference via Uncertainty-Aware Distributed Learning
mā: Zhao, Hang, me ētahi atu.
I whakaputaina: (2026)

Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?
mā: Li, Hongru, me ētahi atu.
I whakaputaina: (2025)

Near-Field Communication with Massive Movable Antennas: An Electrostatic Equilibrium Perspective
mā: Liu, Shicong, me ētahi atu.
I whakaputaina: (2025)

Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding
mā: Li, Lintao, me ētahi atu.
I whakaputaina: (2023)

Fluid Antenna-Assisted MU-MIMO Systems with Decentralized Baseband Processing
mā: Liao, Tianyi, me ētahi atu.
I whakaputaina: (2025)

Accurate and Fast Channel Estimation for Fluid Antenna Systems with Diffusion Models
mā: Tang, Erqiang, me ētahi atu.
I whakaputaina: (2025)

Rethinking Mutual Coupling in Movable Antenna MIMO Systems: Modeling and Optimization
mā: Liao, Tianyi, me ētahi atu.
I whakaputaina: (2026)

AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
mā: Jiang, Peiwen, me ētahi atu.
I whakaputaina: (2018)

Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis
mā: Baishya, Nayan Moni, me ētahi atu.
I whakaputaina: (2024)

AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
mā: Yu, Wentao, me ētahi atu.
I whakaputaina: (2024)

Federated Learning With Energy Harvesting Devices: An MDP Framework
mā: Zhang, Kai, me ētahi atu.
I whakaputaina: (2024)

Decentralized Federated Learning With Energy Harvesting Devices
mā: Zhang, Kai, me ētahi atu.
I whakaputaina: (2026)

Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms
mā: Ma, Zhongtian, me ētahi atu.
I whakaputaina: (2024)

Sensing-Assisted Channel Estimation for Flexible-Antenna Systems: A Unified Framework
mā: Cao, Ruoxiao, me ētahi atu.
I whakaputaina: (2026)

Mutual Information-Empowered Task-Oriented Communication: Principles, Applications and Challenges
mā: Li, Hongru, me ētahi atu.
I whakaputaina: (2025)

Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies
mā: Shi, Yuanming, me ētahi atu.
I whakaputaina: (2025)

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework
mā: Li, Hongru, me ētahi atu.
I whakaputaina: (2023)

Reconfigurable Intelligent Surface for Green Edge Inference
mā: Hua, Sheng, me ētahi atu.
I whakaputaina: (2019)

RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
mā: Shi, Enyu, me ētahi atu.
I whakaputaina: (2023)

Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
mā: Guo, Jiajia, me ētahi atu.
I whakaputaina: (2022)

Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks
mā: Liao, Tianyi, me ētahi atu.
I whakaputaina: (2025)

Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques
mā: Yu, Wentao, me ētahi atu.
I whakaputaina: (2023)

A Unified Two-Stage Generative Diffusion Framework for Channel Estimation and Port Selection in Multiuser MIMO-FAS
mā: Tang, Erqiang, me ētahi atu.
I whakaputaina: (2026)

Adaptive Source-Channel Coding for Semantic Communications
mā: Li, Dongxu, me ētahi atu.
I whakaputaina: (2025)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
mā: Hu, Zihao, me ētahi atu.
I whakaputaina: (2025)