Spectrum allocation with differential pricing and admission in cognitive-radio-based neighborhood area network for smart grid

摘要

Cognitive-radio-based smart grid networks have been studied recently as an efficient way to overcome radio spectrum shortages, especially in wireless Neighborhood Area Network (NAN). In this paper, we propose the optimal spectrum allocation strategy of cognitive radio NAN Gateway (NGW), which also acts as a spectrum collector by radio sensing and leasing from the providers for a fee. Since the service terminals in grid are heterogeneous based on different QoS requirements and willingness to pay, this paper uses differential pricing and admission control for different terminals to improve the benefits of NGW. The decision-making process for spectrum collection and allocation is modeled as a 4-stage Stackelberg gaming, where the optimal decision of radio sensing, spectrum leasing, admission control and differential pricing are deducted through a reverse derivation. A novel corresponding algorithm is also given to solve these optimal solutions efficiently. The numerical results verify the theoretical work sufficiently, meanwhile some obvious meaningful conclusions are drawn from the observation of numerical experiments.