Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station

Seungjin You, Gosan Noh, Jemin Lee, Hano Wang, Daesik Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS.

Original languageEnglish
Title of host publication2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
DOIs
Publication statusPublished - 2010 Aug 3
EventIEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia
Duration: 2010 Apr 182010 Apr 21

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

OtherIEEE Wireless Communications and Networking Conference 2010, WCNC 2010
CountryAustralia
CitySydney, NSW
Period10/4/1810/4/21

Fingerprint

Cognitive radio
Beamforming
Power control
Base stations
Antennas
Quality of service
Throughput

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

You, S., Noh, G., Lee, J., Wang, H., & Hong, D. (2010). Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station. In 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings [5506457] (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2010.5506457
You, Seungjin ; Noh, Gosan ; Lee, Jemin ; Wang, Hano ; Hong, Daesik. / Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station. 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings. 2010. (IEEE Wireless Communications and Networking Conference, WCNC).
@inproceedings{5ddacdb9d78e46a6b4df61e5060d6ed5,
title = "Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station",
abstract = "Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS.",
author = "Seungjin You and Gosan Noh and Jemin Lee and Hano Wang and Daesik Hong",
year = "2010",
month = "8",
day = "3",
doi = "10.1109/WCNC.2010.5506457",
language = "English",
isbn = "9781424463985",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
booktitle = "2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings",

}

You, S, Noh, G, Lee, J, Wang, H & Hong, D 2010, Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station. in 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings., 5506457, IEEE Wireless Communications and Networking Conference, WCNC, IEEE Wireless Communications and Networking Conference 2010, WCNC 2010, Sydney, NSW, Australia, 10/4/18. https://doi.org/10.1109/WCNC.2010.5506457

Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station. / You, Seungjin; Noh, Gosan; Lee, Jemin; Wang, Hano; Hong, Daesik.

2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings. 2010. 5506457 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station

AU - You, Seungjin

AU - Noh, Gosan

AU - Lee, Jemin

AU - Wang, Hano

AU - Hong, Daesik

PY - 2010/8/3

Y1 - 2010/8/3

N2 - Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS.

AB - Cognitive radio (CR) has been studied as a useful solution for efficient utilization of scarce radio spectrums. For it to succeed, two conflicting challenges are imposed on the secondary users: one is to ensure the quality of service (QoS) of the primary link, and the other is to maximize their own transmit throughput. To balance this tradeoff, beamforming and power control employing the multi-antenna in the base station (BS) of the CR network have been introduced. In the perfect beamforming situation, the power control algorithms suitable in the CR network with a multi-antenna BS (MBS) have been proposed in previous works. However, those algorithms are meaningless for realizing a practical CR network with the MBS since perfect beamforming is impossible. Therefore, unlike previous works, this paper proposes a joint beamforming and power control algorithm as a more practical strategy for realizing a CR network with the MBS. The algorithm is proposed so as to maximize the sum-rate of secondary users, while not degrading QoS for the primary link. Numerical results verify its effectiveness in a CR network with the MBS.

UR - http://www.scopus.com/inward/record.url?scp=77955041705&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77955041705&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2010.5506457

DO - 10.1109/WCNC.2010.5506457

M3 - Conference contribution

AN - SCOPUS:77955041705

SN - 9781424463985

T3 - IEEE Wireless Communications and Networking Conference, WCNC

BT - 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings

ER -

You S, Noh G, Lee J, Wang H, Hong D. Joint beamforming and power control algorithm for cognitive radio network with the multi-antenna base station. In 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings. 2010. 5506457. (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2010.5506457