Title
Power Control for Relay-Assisted Cognitive Radio Networks-Part II: Distributed Scenario
Abstract
Optimal power control for relay-assisted cognitive radio networks in which secondary users are assisted by cognitive relays is investigated. A monomial approximation based distributed geometric programming algorithm (MaDGP) is developed to maximize the secondary system utility under the individual and total power constraints of secondary users as well as the interference temperature limits of the primary users. The presented power control algorithm is distributively formulated using geometric programming and is then solved using the Lagrangian primal-dual decomposition. Numerical results demonstrate the effectiveness of our proposed algorithm.
Year
DOI
Venue
2011
10.1109/VETECS.2011.5956698
VTC Spring
Keywords
Field
DocType
distributed scenario,secondary users,power control,optimal control,geometric programming,secondary system utility,approximation theory,cognitive radio,cognitive relays,monomial approximation,lagrangian primal-dual decomposition,optimal power control,distributed geometric programming algorithm,interference temperature,telecommunication control,relay-assisted cognitive radio networks,primary users,madgp,interference,cognitive radio network,programming,radio transmitters,silicon
Transmitter,Mathematical optimization,Optimal control,Computer science,Power control,Approximation theory,Electronic engineering,Monomial,Geometric programming,Relay,Cognitive radio
Conference
Volume
Issue
ISSN
null
null
1550-2252
ISBN
Citations 
PageRank 
978-1-4244-8332-7
2
0.37
References 
Authors
7
4
Name
Order
Citations
PageRank
Wei Liu150.78
Yahui Hu2126.37
Song Ci31086106.10
Hui Tang4437.40