Power Control for Relay-Assisted Cognitive Radio Networks-Part II: Distributed Scenario

Author

Liu, Wei ; Hu, Yahui ; Ci, Song ; Tang, Hui

Author_Institution

High Performance Network Lab., Chinese Acad. of Sci., Beijing, China

fYear

2011

fDate

15-18 May 2011

Firstpage

1

Lastpage

5

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.

Keywords

approximation theory; cognitive radio; geometric programming; optimal control; power control; telecommunication control; Lagrangian primal-dual decomposition; MaDGP; cognitive relays; distributed geometric programming algorithm; distributed scenario; interference temperature; monomial approximation; optimal power control; primary users; relay-assisted cognitive radio networks; secondary system utility; secondary users; Interference; Power control; Programming; Radio transmitters; Receivers; Relays; Silicon;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd

Conference_Location

Yokohama

ISSN

1550-2252

Print_ISBN

978-1-4244-8332-7

Type

conf

DOI

10.1109/VETECS.2011.5956698

Filename

5956698