期刊
SENSORS
卷 21, 期 24, 页码 -出版社
MDPI
DOI: 10.3390/s21248384
关键词
cognitive radio; smart grid; spectrum sensing; power allocation
资金
- Natural Science Foundation of China [61871133]
- Industry-Academia Collaboration Program of Fujian Universities [2020H6006]
As part of an IoT framework, the Smart Grid relies on advanced communication technologies, with Cognitive Radio technology improving communication quality. This paper proposes a new system architecture and optimization methods for multiband-CR-enabled SG communication. Simulation results validate the effectiveness of the proposed methods.
As part of an Internet of Things (IoT) framework, the Smart Grid (SG) relies on advanced communication technologies for efficient energy management and utilization. Cognitive Radio (CR), which allows Secondary Users (SUs) to opportunistically access and use the spectrum bands owned by Primary Users (PUs), is regarded as the key technology of the next-generation wireless communication. With the assistance of CR technology, the quality of communication in the SG could be improved. In this paper, based on a hybrid CR-enabled SG communication network, a new system architecture for multiband-CR-enabled SG communication is proposed. Then, some optimization mathematical models are also proposed to jointly find the optimal sensing time and the optimal power allocation strategy. By using convex optimization techniques, several optimal methods are proposed to maximize the data rate of multiband-CR-enabled SG while considering the minimum detection probabilities to the active PUs. Finally, simulations are presented to show the validity of the proposed methods.
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