PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 1999IEEE Personal Communications9,180 citations

Cognitive radio: making software radios more personal

View Full Paper
JMJoseph MitolaGMGerald Q. Maguire

Key Points

  • To introduce cognitive radio as an extension of software radio that uses model-based reasoning and a specialized knowledge language to optimize spectrum usage and personal communications.
  • Formulated the Radio Knowledge Representation Language to structure knowledge regarding radio etiquette, device capabilities, network protocols, and user context.
  • Developed a model-based reasoning architecture enabling radio nodes to function as autonomous agents capable of peer-to-peer spectrum negotiation.
  • Enabled dynamic protocol stack modification based on automated reasoning across time, spatial patterns, and user application demands.
  • Established a framework transitioning radio systems from passive protocol executors into intelligent agents that autonomously discover and deliver optimal communication services.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mitola et al. (1999) studied this question.

synapsesocial.com/papers/69d74674f07a12db70b8a86fhttps://doi.org/10.1109/98.788210
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Role of Cognitive Radio in Optimizing Spectrum Utilization2024 · 1 citations
  2. 2Software radios: Survey, critical evaluation and future directions1993 · 626 citations
  3. 3Cognitive radio resource management for future cellular networks2014 · 111 citations
  4. 4Comprehensive survey on security challenges and solutions in cognitive radio networks2024
  5. 5Cooperative spectrum sensing in cognitive radio networks2005 · 560 citations