Remote Monitoring of Two-State Markov Sources via Random Access Channels: An Information Freshness vs. State Estimation Entropy Perspective

Author:

Cocco Giuseppe1ORCID,Munari Andrea2ORCID,Liva Gianluigi1ORCID

Affiliation:

1. Signal Theory and Communications Department, Universitat Politecnica de Catalunya, Barcelona, Spain

2. German Aerospace Center, Institute of Communications and Navigation, Weßling, Germany

Funder

Ramon y Cajal Fellowship Program

European Union “NextGenerationEU” Recovery Plan for Europe

Secretary of Universities and Research (Catalan Government) under a Beatriu de Pinós Fellowship

European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie Grant

Federal Ministry of Education and Research of Germany in the Programme of “Souverän. Digital. Vernetzt.” Joint Project 6G-RIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

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. Monitoring IoT Sources Over Random Access Channels: Age of Incorrect Information and Missed Detection Probability;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Importance-aware Sampling of a Two-State Markov Source for Real-time Tracking;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

3. Remote Monitoring of Markov Sources over Random Access Channels: False Alarm and Detection Probability;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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