Dynamic Spectrum Allocation with Priority for Different Services in Cognitive-Radio-based Neighborhood Area Network for Smart Grid

As an effective way of utilizing spectrum resources, the application of cognitive radio technology in smart grid has been widely studied, especially in the wireless Neighborhood Area Networks(NAN). The traditional static allocation method does not consider the dynamic changes of the spectrum environment, and cannot effectively utilize the spectrum resources. This paper proposes a dynamic spectrum allocation method in the NAN scenario, to ensure that spectrum resources can be fully allocated and utilized under the constraints of the different requirements for quality of services (QOS). Firstly, a service arrival model is established considering the uncertainty of the arrival of the primary user (PU), so that the number of reserved channels can be dynamically determined based on this arrival probability model. Secondly, we propose a novel dynamic spectrum allocation method using spectrum reservation to improve the reliability of some services by sacrificing the real time of other services. Finally, the optimal number of leased channels can be determined by the stationary distribution in Markov model we proposed, in which we use blocking rate and dropping as the indicators. Numerical results show that the proposed dynamic spectrum allocation method is superior to comparison method, and some meaningful conclusions are drawn after the observation of our experiments and simulations.