The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Cognitive Radio Architecture Evolution
Abstract
The radio research community has aggressively embraced cognitive radio for dynamic radio spectrum management to enhance spectrum usage, e.g., in ISM bands and as secondary users in unused TV bands, but the needs of the mobile wireless user have not been addressed as thoroughly on the question of high quality of information (QoI) as a function of place, time, and social setting (e.g. commuting, shopping, or in need of medical assistance). This paper considers the evolution of cognitive radio architecture (CRA) in the context of motivating use cases such as public safety and sentient spaces to characterize CRA with an interdisciplinary perspective where machine perception in visual, acoustic, speech, and natural language text domains provide cues to the automatic detection of stereotypical situations, enabling radio nodes to select from among radio bands and modes more intelligently and enabling cognitive wireless networks to deliver higher QoI within social and technical constraints, made more cost effective via embedded and distributed computational intelligence.
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Cites
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Cognitive radio for flexible mobile multimedia communications
Mitola, J. (2003) · 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384) · doi:10.1109/momuc.1999.819467 · Cited by 1,406
Self-citationPrinciples of Artificial Intelligence
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Cited by
A Survey on Machine-Learning Techniques in Cognitive Radios
Bkassiny, M., Li, Y., & Jayaweera, S. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.100412.00017 · Cited by 580
Cognitive internet of things: A new paradigm beyond connection
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Pal, D., Vanijja, V., Arpnikanondt, C., Zhang, X., & Papasratorn, B. (2019) · IEEE Access · doi:10.1109/access.2019.2917061 · Cited by 39
Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach
Pal, D., Triyason, T., Varadarajan, V., & Zhang, X. (2019) · 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew.2019.00-32 · Cited by 10
Metadata
- Authors
- Mitola, J.
- Venue
- Proceedings of the IEEE
- Published
- 2009-04
- Volume
- 97
- Issue
- 4
- Pages
- 626-641
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2122549035
- Cited by
- 288
- References
- 20
- FWCI
- 33.97
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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