Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management

Author:

Binucci Francesco1ORCID,Banelli Paolo1ORCID,Lorenzo Paolo Di2ORCID,Barbarossa Sergio2ORCID

Affiliation:

1. Department of Engineering, University of Perugia, Perugia, Italy

2. Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy

Funder

Fondo di Ricerca di Base 2021 Project APE6G

Università degli Studi di Perugia

PRIN 2017 Project LIQUID EDGE

Ministero dell’Istruzione, dell’Università e della Ricerca

European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, partnership on “Telecommunications of the Future” through Program “RESTART”

SNS-JU-2022 Project ADROIT6G

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Reference51 articles.

1. The Information Bottleneck Problem and its Applications in Machine Learning

2. The information bottleneck method;tishby;arXiv physics/0004057,2000

3. Information bottleneck for Gaussian variables;chechik;J Mach Learn Res,2005

4. Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck

5. Dynamic Ensemble Inference at the Edge

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

2. Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication;IEEE Open Journal of the Communications Society;2024

3. Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization;IEEE Internet of Things Magazine;2023-12

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