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Traditional cognitive radio network is considerably constrained in the spectrum sensing and the access by its limited power, memory and computational capacity. Fortunately, the advent of cloud computing bring the potential to mitigate these constraints due to its vast storage and computational capacity. This paper focuses on the cloud-based cognitive radio spectrum access strategy and provides an...
Based on the partially observable Markov decision process, this paper investigates spectrum access in cognitive networks and proposes an optimal spectrum access algorithm to maximize the throughput. The suboptimal solution to the optimal spectrum access strategy is given by use of the greedy algorithm. In order to achieve the optimal channel access, the channel access state of authorized users is...
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