Optimizing the Cloud Platform Performance for Supporting Large-Scale Cognitive Radio Networks

Provided by: Institute of Electrical & Electronic Engineers
Topic: Mobility
Format: PDF
In this paper, the authors optimize the performance of a cloud platform to effectively support cooperative spectrum sensing in a Cognitive Radio (CR) cloud network. This cloud uses the Apache Hadoop platform to run a cooperative spectrum sensing algorithm in parallel over multiple servers in the cloud. A cooperative spectrum sensing algorithm needs to process a very large number of spectrum sensing reports per second to quickly update its database that stores the current activities of all primary users of the CR network.

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