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• W2342289700 abstract "Recently, machine-to-machine (M2M) communications has become an emerging paradigm that provides ubiquitous connectivity among numerous devices to support diverse communication applications. To address crucial issues in M2M networks, i.e., spectrum scarcity, massive access, and low-power and reliable communications, cognitive radio technology is promised and integrated with M2M communication networks, which is called cognitive M2M (CM2M). In this paper, we propose a database-driven medium access control (MAC) protocol for CM2M networks. In this protocol, devices are capable of obtaining spectrum information from the spectrum database or from the local sensing process. Considering the fading channel scenario, the proposed MAC protocol controls devices to adaptively sense and access the available spectrum channels. The adaptive sensing and access processes are modeled as optimal decision processes by maximizing the network throughput. An iterative adaptive dynamic programming algorithm is developed to find the optimal sensing and access policies for devices. Simulation results show that the proposed MAC protocol can provide reliability guarantees for obtaining high network throughput while reducing the interference to primary systems." @default.
• W2342289700 created "2016-06-24" @default.
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• W2342289700 date "2017-02-01" @default.
• W2342289700 modified "2023-10-18" @default.
• W2342289700 title "SD-MAC: Spectrum Database-Driven MAC Protocol for Cognitive Machine-to-Machine Networks" @default.
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• W2342289700 doi "https://doi.org/10.1109/tvt.2016.2555084" @default.
• W2342289700 hasPublicationYear "2017" @default.
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