Power allocation in OFDM-based cognitive radio systems

Peng Wang; Ming Zhao; Limin Xiao; Shidong Zhou; Jing Wang

doi:10.1109/GLOCOM.2007.772

Power allocation in OFDM-based cognitive radio systems

Peng Wang
, Ming Zhao
, Limin Xiao
, Shidong Zhou
, Jing Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

141 Scopus citations

Abstract

In this paper, we investigate the optimal power allocation strategy that aims at maximizing the capacity in OFDMbased cognitive radio systems. We show that the traditional water-filling algorithm applied in general OFDM systems needs to be modified due to the per subchannel power constraints in such systems. An iterative partitioned water-filling algorithm is proposed and proved to be optimal based on the convex optimization theory.

Original language	English
Title of host publication	IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Pages	4061-4065
Number of pages	5
DOIs	https://doi.org/10.1109/GLOCOM.2007.772
State	Published - 2007
Externally published	Yes
Event	50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States Duration: 26 Nov 2007 → 30 Nov 2007

Publication series

Name	GLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference	50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
Country/Territory	United States
City	Washington, DC
Period	26/11/07 → 30/11/07

Keywords

Cognitive radio (CR)
OFDM
Power allocation
Water-filling

Access to Document

10.1109/GLOCOM.2007.772

Cite this

@inproceedings{000a4c6dada64e58acffdcc60038b6a8,

title = "Power allocation in OFDM-based cognitive radio systems",

abstract = "In this paper, we investigate the optimal power allocation strategy that aims at maximizing the capacity in OFDMbased cognitive radio systems. We show that the traditional water-filling algorithm applied in general OFDM systems needs to be modified due to the per subchannel power constraints in such systems. An iterative partitioned water-filling algorithm is proposed and proved to be optimal based on the convex optimization theory.",

keywords = "Cognitive radio (CR), OFDM, Power allocation, Water-filling",

author = "Peng Wang and Ming Zhao and Limin Xiao and Shidong Zhou and Jing Wang",

year = "2007",

doi = "10.1109/GLOCOM.2007.772",

language = "English",

isbn = "1424410436",

series = "GLOBECOM - IEEE Global Telecommunications Conference",

pages = "4061--4065",

booktitle = "IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings",

note = "50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 ; Conference date: 26-11-2007 Through 30-11-2007",

}

Wang, P, Zhao, M, Xiao, L, Zhou, S & Wang, J 2007, Power allocation in OFDM-based cognitive radio systems. in IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings., 4411682, GLOBECOM - IEEE Global Telecommunications Conference, pp. 4061-4065, 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007, Washington, DC, United States, 26/11/07. https://doi.org/10.1109/GLOCOM.2007.772

Power allocation in OFDM-based cognitive radio systems. / Wang, Peng; Zhao, Ming; Xiao, Limin et al.
IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings. 2007. p. 4061-4065 4411682 (GLOBECOM - IEEE Global Telecommunications Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Power allocation in OFDM-based cognitive radio systems

AU - Wang, Peng

AU - Zhao, Ming

AU - Xiao, Limin

AU - Zhou, Shidong

AU - Wang, Jing

PY - 2007

Y1 - 2007

N2 - In this paper, we investigate the optimal power allocation strategy that aims at maximizing the capacity in OFDMbased cognitive radio systems. We show that the traditional water-filling algorithm applied in general OFDM systems needs to be modified due to the per subchannel power constraints in such systems. An iterative partitioned water-filling algorithm is proposed and proved to be optimal based on the convex optimization theory.

AB - In this paper, we investigate the optimal power allocation strategy that aims at maximizing the capacity in OFDMbased cognitive radio systems. We show that the traditional water-filling algorithm applied in general OFDM systems needs to be modified due to the per subchannel power constraints in such systems. An iterative partitioned water-filling algorithm is proposed and proved to be optimal based on the convex optimization theory.

KW - Cognitive radio (CR)

KW - OFDM

KW - Power allocation

KW - Water-filling

UR - https://www.scopus.com/pages/publications/39349102010

U2 - 10.1109/GLOCOM.2007.772

DO - 10.1109/GLOCOM.2007.772

M3 - Conference contribution

AN - SCOPUS:39349102010

SN - 1424410436

SN - 9781424410439

T3 - GLOBECOM - IEEE Global Telecommunications Conference

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BT - IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings

T2 - 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007

Y2 - 26 November 2007 through 30 November 2007

ER -

Power allocation in OFDM-based cognitive radio systems

Abstract

Publication series

Conference

Keywords

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