Research Article
Cognitive channel and power allocation: information theoretic bounds
@INPROCEEDINGS{10.1109/CROWNCOM.2009.5189105, author={Alister G. Burr}, title={Cognitive channel and power allocation: information theoretic bounds}, proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2009}, month={8}, keywords={Cognitive radio information theory water-filling channel allocation power allocation}, doi={10.1109/CROWNCOM.2009.5189105} }- Alister G. Burr
Year: 2009
Cognitive channel and power allocation: information theoretic bounds
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2009.5189105
Abstract
This paper addresses power allocation between channels in a cognitive radio system, and uses insights from information theory to compare the total capacity available using a fully distributed power allocation scheme with an optimum scheme based on perfect knowledge of all links. First the equations for optimum allocation are obtained, leading to an extension of the water-filling power allocation, which can be solved iteratively. Then algorithms which can be implemented on a distributed basis are considered, and compared with the capacity of the optimum scheme.
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