Resource allocation algorithm for cognitive radio network with heterogeneous user traffic
In this paper we present a novel approach for resource allocation in cognitive radio network (CRN) with heterogeneous user traffic. In this approach we deploy some form of reinforcement learning, and make a short-term resource allocation based on the long-term traffic prediction. The corresponding r...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/25919689.v1 |
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