Power allocation in decode and forward relaying for green cooperative cognitive radio systems

Author

Naeem, M. ; Illanko, K. ; Karmokar, Ashok K. ; Anpalagan, Alagan ; Jaseemuddin, M.

Author_Institution

Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada

fYear

2013

fDate

7-10 April 2013

Firstpage

3806

Lastpage

3810

Abstract

In this paper, we investigate the optimal allocation of the power in the downlink cooperative cognitive radio network using decode and forward (DF) relaying techniques. The power allocation in DF relaying for green cognitive radio with objective of maximizing energy efficiency is a constraint nonlinear nonconvex fractional programming (CNNFP) problem. We present the optimal power allocation in DF relaying by transforming the CNNFP power allocation problem into a concave fractional program by using Charnes-Cooper transformation. We also present an iterative ε-optimal solution for the CNNFP problem using Dinkelbach algorithm. The convergence of the iterative algorithm is proved and numerical solutions obtained using simulations for DF cooperative communications are presented.

Keywords

cognitive radio; concave programming; convex programming; cooperative communication; decode and forward communication; iterative methods; radio networks; relay networks (telecommunication); CNNFP power allocation problem; Charnes-Cooper transformation; DF cooperative communications; DF relaying techniques; Dinkelbach algorithm; concave fractional program; constraint nonlinear nonconvex fractional programming problem; decode and forward relaying techniques; downlink cooperative cognitive radio network; energy efficiency; green cooperative cognitive radio systems; iterative ε-optimal solution; iterative algorithm; optimal power allocation; Cognitive radio; Convergence; Optimization; Programming; Relays; Resource management; Power allocation; cooperative communication; energy-efficiency; fractional programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2013 IEEE

Conference_Location

Shanghai

ISSN

1525-3511

Print_ISBN

978-1-4673-5938-2

Electronic_ISBN

1525-3511

Type

conf

DOI

10.1109/WCNC.2013.6555181

Filename

6555181