Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering

Author:

Schmidt Jorge F.,Schilcher Udo,Atiq Mahin K.,Bettstetter Christian

Funder

Austrian Science Fund

Dynamics of interference in wireless networks

Dependable, secure and time-aware sensor networks

DeSSnet is funded within the context of COMET Competence Centers for Excellent Technologies

Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation

Bundesministerium für Digitalisierung und Wirtschaftsstandort

States of Styria and Carinthia; the COMET program

Austrian Research Promotion Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 15 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

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2. Statistical AI/ML Model Monitoring for 5G/6G: Interference Prediction Case Study;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

3. Joint Model and Data-Driven Two-Stage Uplink Interference Prediction in URLLC Scenarios;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. Cooperative Interference Estimation Using LSTM-Based Federated Learning for In-X Subnetworks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Reliable Interference Prediction and Management with Time-Correlated Traffic for URLLC;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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