Cooperative Cognitive Radio Networks: The Complete Spectrum by Mohamed Ibnkahla

By Mohamed Ibnkahla

Cooperative Cognitive Radio Networks: the full Spectrum Cycle offers a high-quality knowing of the rules of cognitive radio expertise, from spectrum sensing, entry, and handoff to routing, buying and selling, and defense. Written in an instructional variety with numerous illustrative examples, this entire book:

  • Gives an outline of cognitive radio structures and explains the several elements of the spectrum cycle
  • Features step by step analyses of the several algorithms and platforms, supported through broad laptop simulations, figures, tables, and references
  • Fulfills the necessity for a unmarried resource of data on all elements of the spectrum cycle, together with the actual, hyperlink, medium entry, community, and alertness layers

Offering a unifying view of a few of the ways and methodologies, Cooperative Cognitive Radio Networks: the whole Spectrum Cycle presents the cutting-edge of cognitive radio expertise, addressing all stages of the spectrum entry cycle.

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Additional resources for Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle

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This paradigm is also referred to as opportunistic spectrum access. 2 Underlay Paradigm Unlike the interweave paradigm, in underlay paradigm, the SU can coexist with the PU as long as the SU transmits below an interference threshold or the interference temperature [15]. 5. The advantage of this paradigm is that it does not necessarily require to perform spectrum sensing. Indeed, the SU can benefit in scenarios where PUs are almost always present in some systems compared to the interweave paradigm.

An extension to this is presented in [66] where multiple SUs cooperate to improve the detection reliability. The drawback of this converter is that the PN generator is required for compression, and thus, in order to exploit the spatial diversity in CRNs, each SU should have a separate compression device. In other words, synchronization among the SUs is required because asynchronized Φ may degrade the spectrum reconstruction. To alleviate this deficiency, parallel sampling channels could be used.

3 Two-Stage Sensing Spectrum sensing can be done over two stages. A coarse sensing is first performed and followed by a fine sensing stage if necessary [31,32]. 8c. For instance, in [31], an energy detector is used in both stages. In the coarse stage, a quick search is done over a wide bandwidth, and in the fine stage, the sensing is done over the individual candidate subbands in that bandwidth. Simulation results show that two-stage spectrum sensing provides faster searching time compared to one-stage-based searching algorithms when the PU activity is high.

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