Embedded Cognitive Radio for Next Generation IoE: Framework, Solution, and Future Directions

The next generation Internet of everything (IoE) is expected to operate in a highly dynamic environment, where cognitive radio (CR) has been identified as a potential solution due to its inherent advantage of dynamic spectrum access. Its combination with the non-orthogonal multiple access (NOMA) enables highly efficient multiple access. Current CR techniques, however, adopt either underlay mode or overlay mode, and will result in increased interference or decreased accessing probability. In this article, a novel embedded CR (ECR) framework is introduced as a more flexible and efficient solution. Considering the rigorous quality of service (QoS) requirements of IoE, a composite successive interference cancellation (SIC) decoding strategy under the ECR framework is specially designed, and a spectrum allocation scheme is further presented. The critical challenges of ECR_NOMA and our preliminary results are presented. We also discuss a range of research directions in future IoE networks.

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Publication Details

Journal
IEEE Network
Published
2025-01-01
DOI
https://doi.org/10.1109/mnet.2025.3580363
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Embedded Cognitive Radio for Next Generation IoE: Framework, Solution, and Future Directions

Wei Peng, Mohsen Guizani, Mingming Zheng
IEEE Network
Cognitive Radio Networks and Spectrum Sensing
article

Embedded Cognitive Radio for Next Generation IoE: Framework, Solution, and Future Directions

Wei Peng, Mohsen Guizani, Mingming Zheng
article en

Abstract

The next generation Internet of everything (IoE) is expected to operate in a highly dynamic environment, where cognitive radio (CR) has been identified as a potential solution due to its inherent advantage of dynamic spectrum access. Its combination with the non-orthogonal multiple access (NOMA) enables highly efficient multiple access. Current CR techniques, however, adopt either underlay mode or overlay mode, and will result in increased interference or decreased accessing probability. In this article, a novel embedded CR (ECR) framework is introduced as a more flexible and efficient solution. Considering the rigorous quality of service (QoS) requirements of IoE, a composite successive interference cancellation (SIC) decoding strategy under the ECR framework is specially designed, and a spectrum allocation scheme is further presented. The critical challenges of ECR_NOMA and our preliminary results are presented. We also discuss a range of research directions in future IoE networks.

IEEE Network
Mohamed bin Zayed University of Artificial Intelligence (AE), Huazhong University of Science and Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 85%
Cognitive Radio Networks and Spectrum Sensing
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