Distributed iterative power allocation in cognitive wireless mesh networks

Xianfu Chen, Zhifeng Zhao, Honggang Zhang, Tao Chen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

As the limited spectrum resource becoming over crowded, cognitive wireless mesh networks have great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of critical challenges for realizing such networks is how to adaptively allocate transmit powers and frequencies among secondary users (SUs) while maintaining the quality of service (QoS) requirement of the primary users (PUs). In this paper, we consider the power control problem in cognitive wireless mesh network formed by clusters under the total transmit power constraint by each SU as well as the mean-squared error (MSE) constraint by the PU. The problem is modeled as a non-cooperative game. A distributed iterative power allocation algorithm is proposed to reach the Nash equilibrium (NE). It offers an opportunity for SUs to negotiate the best use of power and frequency with each other. Numerical results are presented to illustrate the efficiency and accuracy of the algorithm. (12 refs.)
Original languageEnglish
Title of host publication2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009
Subtitle of host publicationProceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages387-391
ISBN (Print)978-1-4244-4856-2
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Wireless Communications & Signal Processing, WCSP 2009
- Nanjing, China
Duration: 13 Nov 200915 Nov 2009

Conference

ConferenceInternational Conference on Wireless Communications & Signal Processing, WCSP 2009
Abbreviated titleWCSP 2009
CountryChina
CityNanjing
Period13/11/0915/11/09

Fingerprint

Wireless mesh networks (WMN)
Power control
Frequency bands
Quality of service

Cite this

Chen, X., Zhao, Z., Zhang, H., & Chen, T. (2009). Distributed iterative power allocation in cognitive wireless mesh networks. In 2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009: Proceedings (pp. 387-391). Piscataway, NJ: Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WCSP.2009.5371443
Chen, Xianfu ; Zhao, Zhifeng ; Zhang, Honggang ; Chen, Tao. / Distributed iterative power allocation in cognitive wireless mesh networks. 2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009: Proceedings. Piscataway, NJ : Institute of Electrical and Electronic Engineers IEEE, 2009. pp. 387-391
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Chen, X, Zhao, Z, Zhang, H & Chen, T 2009, Distributed iterative power allocation in cognitive wireless mesh networks. in 2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009: Proceedings. Institute of Electrical and Electronic Engineers IEEE, Piscataway, NJ, pp. 387-391, International Conference on Wireless Communications & Signal Processing, WCSP 2009
, Nanjing, China, 13/11/09. https://doi.org/10.1109/WCSP.2009.5371443

Distributed iterative power allocation in cognitive wireless mesh networks. / Chen, Xianfu; Zhao, Zhifeng; Zhang, Honggang; Chen, Tao.

2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009: Proceedings. Piscataway, NJ : Institute of Electrical and Electronic Engineers IEEE, 2009. p. 387-391.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - As the limited spectrum resource becoming over crowded, cognitive wireless mesh networks have great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of critical challenges for realizing such networks is how to adaptively allocate transmit powers and frequencies among secondary users (SUs) while maintaining the quality of service (QoS) requirement of the primary users (PUs). In this paper, we consider the power control problem in cognitive wireless mesh network formed by clusters under the total transmit power constraint by each SU as well as the mean-squared error (MSE) constraint by the PU. The problem is modeled as a non-cooperative game. A distributed iterative power allocation algorithm is proposed to reach the Nash equilibrium (NE). It offers an opportunity for SUs to negotiate the best use of power and frequency with each other. Numerical results are presented to illustrate the efficiency and accuracy of the algorithm. (12 refs.)

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Chen X, Zhao Z, Zhang H, Chen T. Distributed iterative power allocation in cognitive wireless mesh networks. In 2009 International Conference on Wireless Communications & Signal Processing, WCSP 2009: Proceedings. Piscataway, NJ: Institute of Electrical and Electronic Engineers IEEE. 2009. p. 387-391 https://doi.org/10.1109/WCSP.2009.5371443