Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels

M. Hayajneh; C. T. Abdallah

doi:10.1109/WCNC.2003.1200459

Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels

M. Hayajneh, C. T. Abdallah

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

10 Citations (Scopus)

Abstract

In this paper we use statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels, i.e., no presumed channel model is required. To show the validity of statistical learning theory in this context, we studied a flat fading channel, and more specifically, we simulated the case of Rayleigh flat fading channel. With the help of a relatively small number of training samples, the results suggest the learnability of the utility function classes defined by changing the user power (adjusted parameter) for each user's utility function.

Original language	English
Title of host publication	2003 IEEE Wireless Communications and Networking Conference, WCNC 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	723-728
Number of pages	6
ISBN (Electronic)	0780377001
DOIs	https://doi.org/10.1109/WCNC.2003.1200459
Publication status	Published - 2003
Externally published	Yes
Event	2003 IEEE Wireless Communications and Networking Conference: The Dawn of Pervasive Communication, WCNC 2003 - New Orleans, United States Duration: Mar 16 2003 → Mar 20 2003

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2
ISSN (Print)	1525-3511

Other

Other	2003 IEEE Wireless Communications and Networking Conference: The Dawn of Pervasive Communication, WCNC 2003
Country/Territory	United States
City	New Orleans
Period	3/16/03 → 3/20/03

ASJC Scopus subject areas

Engineering(all)

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10.1109/WCNC.2003.1200459

Cite this

Hayajneh, M., & Abdallah, C. T. (2003). Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels. In 2003 IEEE Wireless Communications and Networking Conference, WCNC 2003 (pp. 723-728). [1200459] (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2003.1200459

Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels. / Hayajneh, M.; Abdallah, C. T.

2003 IEEE Wireless Communications and Networking Conference, WCNC 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 723-728 1200459 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2).

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

Hayajneh, M & Abdallah, CT 2003, Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels. in 2003 IEEE Wireless Communications and Networking Conference, WCNC 2003., 1200459, IEEE Wireless Communications and Networking Conference, WCNC, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 723-728, 2003 IEEE Wireless Communications and Networking Conference: The Dawn of Pervasive Communication, WCNC 2003, New Orleans, United States, 3/16/03. https://doi.org/10.1109/WCNC.2003.1200459

Hayajneh M, Abdallah CT. Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels. In 2003 IEEE Wireless Communications and Networking Conference, WCNC 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 723-728. 1200459. (IEEE Wireless Communications and Networking Conference, WCNC). doi: 10.1109/WCNC.2003.1200459

Hayajneh, M. ; Abdallah, C. T. / Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels. 2003 IEEE Wireless Communications and Networking Conference, WCNC 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 723-728 (IEEE Wireless Communications and Networking Conference, WCNC).

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Statistical learning theory to evaluate the performance of game theoretic power control algorithms for wireless data in arbitrary channels

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