Cognitive networks: adaptation and learning to achieve end-to-end performance objectives

  title={Cognitive networks: adaptation and learning to achieve end-to-end performance objectives},
  author={Ryan W. Thomas and Daniel H. Friend and Luiz A. DaSilva and Allen B. MacKenzie},
  journal={IEEE Communications Magazine},
In this article we advance the idea of a cognitive network, capable of perceiving current network conditions and then planning, learning, and acting according to end-to-end goals. Cognitive networks are motivated by the complexity, heterogeneity, and reliability requirements of tomorrow's networks, which are increasingly expected to self-organize to meet user and application objectives. We compare and contrast cognitive networks with related research on cognitive radios and cross-layer design… CONTINUE READING
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Bourse et al . , “ End - to - End Reconfigurability ( E 2 R II ) : Management and Control of Adaptive Communication Systems

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