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Cognitive radio: making software radios more personal
Abstract
Software radios are emerging as platforms for multiband multimode personal communications systems. Radio etiquette is the set of RF bands, air interfaces, protocols, and spatial and temporal patterns that moderate the use of the radio spectrum. Cognitive radio extends the software radio with radio-domain model-based reasoning about such etiquettes. Cognitive radio enhances the flexibility of personal services through a radio knowledge representation language. This language represents knowledge of radio etiquette, devices, software modules, propagation, networks, user needs, and application scenarios in a way that supports automated reasoning about the needs of the user. This empowers software radios to conduct expressive negotiations among peers about the use of radio spectrum across fluents of space, time, and user context. With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs. This transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them. Software radio provides an ideal platform for the realization of cognitive radio.
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Cited by
The Roadmap to 6G: AI Empowered Wireless Networks
Letaief, K. B., Chen, W., Shi, Y., Zhang, J., & Zhang, Y.-J. A. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1900271 · Cited by 2,207
Eigenvalue-based spectrum sensing algorithms for cognitive radio
Zeng, Y., & Liang, Y.-C. (2009) · IEEE Transactions on Communications · doi:10.1109/tcomm.2009.06.070402 · Cited by 1,258
Tariq, F., Khandaker, M., Wong, K.-K., Imran, M., Bennis, M., & Debbah, M. (2019) · arXiv · doi:10.48550/arxiv.1902.06700 · Cited by 1,014
Tariq, F., Khandaker, M. R. A., Wong, K.-K., Imran, M. A., Bennis, M., & Debbah, M. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900488 · Cited by 1,014
Intelligent 5G: When Cellular Networks Meet Artificial Intelligence
Li, R., Zhao, Z., Zhou, X., Ding, G., Chen, Y., Wang, Z., & Zhang, H. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600304wc · Cited by 601
Metadata
- Authors
- Mitola, J., & Maguire, G. Q.
- Venue
- IEEE Personal Communications
- Published
- 1999
- Volume
- 6
- Issue
- 4
- Pages
- 13-18
- ISSN
- 1070-9916 (ISSN-L)
- OpenAlex
- W2168078104
- Cited by
- 9,135
- References
- 0
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: making software radios more personal. IEEE Personal Communications. https://doi.org/10.1109/98.788210
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