Using Biologically-Inspired Foraging Approach for Spectrum Reconfiguration in Distributed Cognitive Radio Network

Oki, Olukayode; Mudali, Pragasen; Adigun, Matthew O.; Olwal, Thomas O.

doi:10.1109/5gwf.2018.8516932

Cited by 2 publications

(1 citation statement)

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“…The performance for different techniques of classification are evaluated based on f1 measure, time classification, and typical training time 16 . These have the merit of not requiring a central authority that verifies compliance to the protocol 17 …”

Section: Related Workmentioning

confidence: 99%

Efficient spectrum sensing framework for cognitive networks

Jacob

Pravin

Nagarajan

2019

Concurrency and Computation

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Summary Cognitive network is a modern networking technology that utilizes both the radio spectrum and the wireless station. The resources can be effectively utilized based on availability of knowledge gathered from the past experiences. By using cognitive radio technology, the new network is constructed to every node. Wireless devices' necessity is being increased nowadays, which leads to the demand for spectrum. The problems are high fluctuations of the different spectrum bands and the disconnections of the network. The cognitive radio network is proposed to be an optimal solution for both the spectrum scarcity and the spectrum inefficiency problems. Using the cognitive radio network, the wireless channel is shared with the primary users. The cognitive radio network provides high bandwidth for the mobile users by using specialized heterogeneous wireless architecture. These challenges are overcome by CR networks that define the concept of spectrum sensing. While using the spectrum, the performance of the network should not degrade. Hence, the framework planned will able to do this situation.

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Section: Related Workmentioning

confidence: 99%