Abstract
In this chapter, we present the Rate-Adaptive Probabilistic (RAP) framework for spectrum sensing and management that allows multiple low-complexity cognitive radio users to fairly share the available spectral opportunities without inter-flow communication. The RAP framework exploits coordinated random spectrum selection approach to relax the hardware requirements of the cognitive radio transceiver. For such a random spectrum selection, the RAP framework adopts a non-greedy rate-adaptive probabilistic transmission policy that adapts the transmission parameters based on the interference scenario to: (1) allow the cognitive senders to better explore spectral opportunities regardless of the inaccuracy of spectrum sensing, and (2) enable multiple cognitive radio flows to share the available opportunities in a distributed manner without explicit inter-flow coordination. Then, we present RAP-MAC as the protocol realization of the framework.
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Khattab, A., Perkins, D., Bayoumi, M. (2013). Rate-Adaptive Probabilistic Approach for Opportunistic Spectrum Access. In: Cognitive Radio Networks. Analog Circuits and Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4033-8_5
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DOI: https://doi.org/10.1007/978-1-4614-4033-8_5
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