The spectrum allocation for cognitive radio sensor networks (CRSNs) has received considerable research attention under the assumption that the spectrum environment IMMUNO-MULTI is static.However, in practice, the spectrum environment varies over time due to primary user/secondary user (PU/SU) activity and mobility, resulting in time-varied spectrum resources.This paper studies resource allocation for chunk-based multi-copyright CRSNs with time-varied spectrum resources.We present a novel opportunistic capacity model through a continuous time semi-Markov chain (CTSMC) to describe the time-varied spectrum resources of chunks and, based on this, a joint power and chunk allocation model by considering the opportunistically available capacity of chunks is proposed.
To reduce the computational complexity, we split this model into two sub-problems and solve them via the Lagrangian dual method.Simulation results illustrate that the proposed opportunistic capacity-based Eye Cream resource allocation algorithm can achieve better performance compared with traditional algorithms when the spectrum environment is time-varied.