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

fYear

2012

fDate

3-7 Dec. 2012

Firstpage

163

Lastpage

167

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/GLOCOMW.2012.6477563

Filename

6477563