Joint Spectrum Sensing, Bandwidth Allocation and Energy Consumption Optimization in Cognitive IoT
Yan Long, Ye Li, Yongfan Long, Lu He, Honghao Ju · 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) · 2021
With the massive connected devices, spectrum shortage becomes a serious problem in Internet of Things. Cognitive radio technology could mitigate this spectrum resource shortage problem in IoT. In this paper, we study the joint spectrum sensing, bandwidth allocation and energy consumption problem in cognitive IoT. We balance the tradeoff between bandwidth allocation and energy consumption, and meanwhile maximize the utility of each secondary IoT device, through optimizing the spectrum sensing period and sensing performance. We formulate the problem as a non-cooperative game, and prove the existence of Nash equilibrium. We propose a False Alarm based bandwidth allocation scheme (FA-scheme). This scheme determines the sensing period according the Nash equilibrium, and allocates the spectrum bandwidth based on the false alarm performance. Simulation results show that the proposed scheme has great advantages in terms of secondary network throughput.