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On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum Sensing

  • Published:2019-03 Issue:1 Volume:5 Page:59-72
  • ISSN:2332-7731
  • Container-title:IEEE Transactions on Cognitive Communications and Networking
  • language:
  • Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Al-Tahmeesschi AhmedORCID,Lopez-Benitez MiguelORCID,Patel Dhaval K.ORCID,Lehtomaki JanneORCID,Umebayashi KentaORCID

Funder

UK-India Education and Research Initiative

Academy of Finland

Infotech Oulu

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Cited by 6 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. On the Performance of Channel Occupancy Rate Estimation With Iterative Threshold Setting in Cognitive Radios;IEEE Transactions on Cognitive Communications and Networking;2022-12

2. Long Boosted Memory Algorithm for Intelligent Spectrum Sensing in 5G and Beyond Systems;Journal of Network and Systems Management;2022-03-22

3. Methods for Fast Estimation of Primary Activity Statistics in Cognitive Radio Systems;2020 IEEE Wireless Communications and Networking Conference (WCNC);2020-05

4. Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum Sensing;IEEE Transactions on Communications;2020-04

5. Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems;2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW);2020-04
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