Optimal Power Control Under Interference Temperature Constraints in Cognitive Radio Network

In cognitive radio network, the interference of the unlicensed users to the licensed users should be limited under interference temperature constraints. In this paper, the optimal power control scheme of a network is analyzed without interference temperature constraints firstly. Based on this, considering interference temperature constraints, the optimal power control in cognitive radio network is modeled as a concave minimization problem. Some useful properties of the power control optimization problem are exploited. According to these properties, an improved branch and bound algorithm which is more efficient than the general branch and bound algorithm is proposed for optimal power control optimization problem in cognitive radio network.

[1]  Wenbo Wang,et al.  Game Theoretic Analysis of Power Control for Cognitive Network in Licensed Spectrum , 2006, 2006 First International Conference on Communications and Networking in China.

[2]  Michael Gastpar.  Gaussian multiple-access channels under received-power constraints , 2004, Information Theory Workshop.

[3]  Andrea J. Goldsmith,et al.  Adaptive multirate CDMA for uplink throughput maximization , 2003, IEEE Trans. Wirel. Commun..

[4]  R. M. Buehrer,et al.  Game theoretic analysis of a network of cognitive radios , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..

[5]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[6]  Seong-Jun Oh,et al.  Optimality of greedy power control and variable spreading gain in multi-class CDMA mobile networks , 1999, MobiCom.

[7]  Pierre Apkarian,et al.  Robust control via concave minimization local and global algorithms , 2000, IEEE Trans. Autom. Control..

[8]  Leo Liberti,et al.  Introduction to Global Optimization , 2006 .

[9]  Jeffrey H. Reed,et al.  Convergence of cognitive radio networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[10]  Horst Reiner,et al.  Introduction to Global Optimization. Second Edition , 2000 .

[11]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..