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Transform-Domain-Based Cognitive Radio Networks for Harsh Interference Environments

Authors:

Celimuge WuAuthors Info & Claims

IEEE Network, Volume 36, Issue 4

Pages 78 - 85

https://doi.org/10.1109/MNET.001.2100590

Published: 01 July 2022 Publication History

Abstract

In harsh interference environments, there are all kinds of electromagnetic interference to disturb the communication links. In this article, by integrating transform domain communication system (TDCS) into cognitive radio (CR), transform-domain-based cognitive radio (TD-CR) is proposed to flexibly adopt TD-based spread spectrum technology to generate an adaptive anti-interference modulation waveform over the idle spectrum, which will improve both the anti-interference performance and spectrum efficiency of CR in the harsh interference environments. First, the transmitter and receiver of the TD-CR system are designed, where the key technologies, including spectrum sensing, spectrum magnitude shape, random phase mapping, fundamental modulation waveform, and signal detection, are described. Second, novel interleave-division multiple access and clustering multiple access for the TD-CR are proposed to improve the multiuser spectrum access ability. Thirdy, artificial-intelligence-enabled TD-CR is proposed to achieve intelligent spectrum sensing and optimal waveform transform by a cognitive engine. Then simulation results are provided to verify the anti-interference performance of the TD-CR. Finally, some future research challenges are discussed.

References

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Cited By

Li BXu J(2023)A transform domain communication method based on combinatorial basis functionProceedings of the 2023 International Conference on Communication Network and Machine Learning10.1145/3640912.3640932(101-105)Online publication date: 27-Oct-2023
https://dl.acm.org/doi/10.1145/3640912.3640932

Index Terms

Transform-Domain-Based Cognitive Radio Networks for Harsh Interference Environments
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Network: The Magazine of Global Internetworking

IEEE Network: The Magazine of Global Internetworking Volume 36, Issue 4

July/August 2022

224 pages

ISSN:0890-8044

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Copyright © 2022.

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IEEE Press

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Published: 01 July 2022

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Cited By

Li BXu J(2023)A transform domain communication method based on combinatorial basis functionProceedings of the 2023 International Conference on Communication Network and Machine Learning10.1145/3640912.3640932(101-105)Online publication date: 27-Oct-2023
https://dl.acm.org/doi/10.1145/3640912.3640932

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