By Mohamed Ibnkahla
Cooperative Cognitive Radio Networks: the whole Spectrum Cycle presents an effective knowing of the principles of cognitive radio expertise, from spectrum sensing, entry, and handoff to routing, buying and selling, and defense. Written in an instructional sort with a number of illustrative examples, this finished book:
- Gives an outline of cognitive radio platforms and explains different parts of the spectrum cycle
- Features step by step analyses of the several algorithms and structures, supported through vast machine 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 number of the ways and methodologies, Cooperative Cognitive Radio Networks: the entire Spectrum Cycle presents the state-of-the-art of cognitive radio expertise, addressing all stages of the spectrum entry cycle.
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Extra info for Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle
The received signal is modulated by a pseudorandom number (PN) generator to spread the frequency content of the signal so that it is not destroyed by the low-pass filter (LPF). The signal is then sampled at a lower rate using any conventional analog-todigital convertor (ADC). Then, using the appropriate CS algorithms, the signal can be successfully reconstructed from these partial measurements. An extension to this is presented in  where multiple SUs cooperate to improve the detection reliability.
Pilots, cyclic prefixes, and preambles). If the sensing duration or power consumption is not a constraint, then cyclostationarity can be implemented due to its robustness against noise uncertainties. If no prior knowledge is available, or if a simple algorithm is desired, then the energy detector is preferred. Nevertheless, some advancements are required to improve its robustness at low SNR regime such as advanced or adaptive estimation techniques of the noise power . 5 Design Trade-Off and Challenges Spectrum sensing for cognitive radios has certain trade-offs  as described in the following.
Typically, serial spectrum sensing is relatively simple to implement. However, it is relatively slow, and this is undesirable especially when we have many subchannels. Some techniques have been proposed to make such algorithms faster, such as the two-stage sensing, which requires additional components, and the SPRT-based sensing, which has some practical disadvantages [10, ch. III]. d samples. Also, the number of required samples is a random variable, and it is usually unbounded. Thus, some truncation techniques to limit the number of collected samples are necessary.
Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle by Mohamed Ibnkahla