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Machine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands

  • Published:2021-03-15 Issue:6 Volume:8 Page:4461-4471
  • ISSN:2327-4662
  • Container-title:IEEE Internet of Things Journal
  • language:
  • Short-container-title:IEEE Internet Things J.

Author:

Homssi Bassel AlORCID,Al-Hourani AkramORCID,Krusevac ZarkoORCID,Rowe Wayne S. T.ORCID

Funder

Northern Melbourne Smart Cities Project (NMSCN), “Enabling Data to Drive Change.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 25 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. Analytic Modeling for Grant-Free Transmission in Cell-Free Massive MIMO: A Stochastic Geometry Approach;IEEE Internet of Things Journal;2024-05-15

2. Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels;IEEE Transactions on Signal Processing;2024

4. From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation;IEEE Open Journal of the Communications Society;2024

5. Robust Over-The-Air Aggregation for uplink OFDM system under burst sparse interference;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25
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