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

Content Provider	IEEE Xplore Digital Library
Author	Naeem, M. Illanko, K. Karmokar, A.K. Anpalagan, A. Jaseemuddin, M.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada (Naeem, M.; Illanko, K.; Karmokar, A.K.; Anpalagan, A.; Jaseemuddin, M.)
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.
Starting Page	3806
Ending Page	3810
File Size	426727
Page Count	5
File Format	PDF
ISBN	9781467359382
ISSN	15253511
e-ISBN	9781467359399
e-ISBN	9781467359375
DOI	10.1109/WCNC.2013.6555181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Optimization Relays Cognitive radio Programming Convergence fractional programming Power allocation energy-efficiency cooperative communication
Content Type	Text
Resource Type	Article

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