Τίτλος:
Capacity optimization through sensing threshold adaptation for cognitive radio networks
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
We propose capacity optimization through sensing threshold adaptation for sensing-based cognitive radio networks. The objective function of the proposed optimization is the maximization of the capacity at the secondary user subject to transmit power and sensing threshold constraints for protecting the primary user. After proving the concavity of capacity on sensing threshold, the problem is solved using the Lagrange duality decomposition method in conjunction with a subgradient iterative algorithm. The numerical results show that the proposed optimization can lead to significant capacity maximization for the secondary user as long as this is affordable to the primary user. © 2011 Springer-Verlag.
Συγγραφείς:
Foukalas, F.T.
Karetsos, G.T.
Merakos, L.F.
Περιοδικό:
Optimization Letters
Λέξεις-κλειδιά:
Capacity optimization; Cognitive radio network; Decomposition methods; Iterative algorithm; Lagrange duality; Numerical results; Objective functions; Subgradient; Subgradient methods; Transmit power, Algorithms; Cognitive radio; Convex optimization; Lagrange multipliers; Radio systems, Optimization
DOI:
10.1007/s11590-011-0345-8
