Capacity optimization through sensing threshold adaptation for cognitive radio networks
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Publication:694188
DOI10.1007/S11590-011-0345-8zbMATH Open1259.90013arXiv1301.6348OpenAlexW2032425701MaRDI QIDQ694188
George T. Karetsos, Lazaros F. Merakos, Fotis T. Foukalas
Publication date: 11 December 2012
Published in: Optimization Letters (Search for Journal in Brave)
Abstract: In this paper we propose the capacity optimization over sensing threshold for sensing-based cognitive radio networks. The objective function of the proposed optimization is to maximize the capacity at the secondary user subject to the constraints on the transmit power and the sensing threshold in order to protect the primary user. The defined optimization problem is a convex optimization over the transmit power and the sensing threshold where the concavity on sensing threshold is proved. The problem is solved by using Lagrange duality decomposition method in conjunction with a subgradient iterative algorithm and the numerical results show that the proposed optimization can lead to significant capacity maximization for the secondary user as long as the primary user can afford.
Full work available at URL: https://arxiv.org/abs/1301.6348
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