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Engineering - Signals & Communication | Cognitive Communication and Cooperative HetNet Coexistence - Selected Advances on Spectrum Sensing,

Cognitive Communication and Cooperative HetNet Coexistence

Selected Advances on Spectrum Sensing, Learning, and Security Approaches

Di Benedetto, Maria-Gabriella, Bader, Faouzi (Eds.)

2014, XVI, 365 p. 129 illus., 7 illus. in color.

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  • Covers recent advances in wideband spectrum sensing for cognitive radio
  • Presents the use of several bio-inspired approaches for the design of self-organizing networks in heterogeneous scenarios
  • Discusses the main security threats to cognitive radio networks
  • Explores learning, game theory, and optimization as biomimetic approaches for self-organization in macro-femtocell coexistence
  • Considers cognition as a tool for green next-generation networks
This book, written by experts from universities and major industrial research laboratories, is devoted to the very hot topic of cognitive radio and networking for cooperative coexistence of heterogeneous wireless networks. Selected highly relevant advanced research is presented on spectrum sensing and progress toward the realization of accurate radio environment mapping, biomimetic learning for self-organizing networks, security threats (with a special focus on primary user emulation attack), and cognition as a tool for green next-generation networks. The research activities covered include work undertaken within the framework of the European COST Action IC0902, which is geared towards the definition of a European platform for cognitive radio and networks. Communications engineers, R&D engineers, researchers, and students will all benefit from this complete reference on recent advances in wireless communications and the design and implementation of cognitive radio systems and networks.

Content Level » Research

Keywords » Biomimetic Approaches - Cognitive Radio Systems - Cooperative Coexistence - European COST Action IC0902 - Green Next Generation Networks - Learning and Optimisation Techniques - Primary User Emulation attack - Spectrum Sensing Algorithms

Related subjects » Artificial Intelligence - Signals & Communication

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