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In most of compressed sensing (CS) contributions, the sparsity of interesting signals is usually assumed to be prior. It may incur performance degradation of CS in such environments, where the sparsity order of channel occupancy changes dynamically. Therefore, sparsity order estimation (SOE) is vital, so that the sampling rate can be adjusted adaptively to exploit fully CS techniques. This paper studies...
In cognitive radio system, secondary user needs to make a real-time access decisions based on spectrum sensing outcome to exploit the spectrum idle. However, due to limited by hardware and energy, secondary user cannot perform full-spectrum sensing. This paper develops a real-time strategy of channel selection and access control based on Partially Observable Markov Decision Process (POMDP) and primary...
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