A spectrum access strategy for cloud-based cognitive radio networks

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 optimal spectrum access operation strategy, which maximizes the transmission efficiency of the secondary users. Simulations results show that the maximum benefits can be achieved at the same cost.