Title :
Iterative power allocation for downlink green cognitive radio network
Author :
Naeem, M. ; Illanko, K. ; Karmokar, A. ; Anpalagan, Alagan ; Jaseemuddin, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Abstract :
In this paper, the problem of determining the power allocation that maximizes the energy-efficiency of cognitive radio network is investigated as a constrained fractional programming problem (CFPP). The fractional objective is defined in terms of bits per Joule per Hz. The proposed CFPP is a nonlinear non-convex optimization problem. We propose an iterative power algorithm (IPA) that guarantees ε-optimal solution. The convergence of IPA is proved and numerical solutions obtained using simulations are presented.
Keywords :
cognitive radio; concave programming; constraint handling; iterative methods; nonlinear programming; radio links; ε-optimal solution; CFPP; IPA convergence; cognitive radio problem energy-efficiency; constrained fractional programming problem; downlink green cognitive radio network; fractional objective; iterative power allocation; nonlinear nonconvex optimization problem; Air pollution; Cognitive radio; Green products; Interference; Optimization; Resource management; Power allocation; energy-efficiency; fractional programming;
Conference_Titel :
Globecom Workshops (GC Wkshps), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-4942-0
Electronic_ISBN :
978-1-4673-4940-6
DOI :
10.1109/GLOCOMW.2012.6477563
