Scheduling Approach for Reducing Waiting Time in Dynamic Spectrum Allocation in Cognitive Radio Networks
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Abstract
We propose a novel algorithm to reduce average waiting time of secondary user in modeling the dynamic channel allocation problem in cognitive radio networks by applying game theory blended with pricing theory with an effect of past behavior of the channel. Moreover in the proposed work, we define a unique model to stumble on a channel to by Secondary User to minimize the switching of secondary user. The Secondary Users can be considered as selfish users competing with each other for spectrum. These selfish users will try to get more access to the spectrum and achieve higher profits. We propose a scheme to prohibit such users from accessing more bandwidth. Moreover, since the usage of a channel may vary in various time bands, so we allocate a channel to a secondary user based on the utilization history of the channel. In the paper we also propose the scheme to minimize their power requirements.
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Keywords: Primary User (PU), Secondary User (SU), xG User, Usage Matrix, xG Network, Game Theory, Signal to Interference-plus-Noise Ratio (SINR)
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