Time varying wireless channel modeling, estimation, identification, and power control from measurements

Mohammed M. Olama; Li Yanyan; Seddik M. Djouadi; Charalambos D. Charalambous

doi:10.1109/ACC.2007.4283120

Time varying wireless channel modeling, estimation, identification, and power control from measurements

Mohammed M. Olama, Li Yanyan, Seddik M. Djouadi, Charalambos D. Charalambous

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

4 Scopus citations

Abstract

This paper is concerned with a time-varying wireless channel modeling, its parameter estimation, system identification, and optimal power control from measurement data. The channel model is represented in state space form, while the Expectation Maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The inphase and quadrature components of the wireless channel and its parameters are estimated from received signal measurements. The proposed algorithm is tested using measurement data, and the results are presented. Moreover, an optimal power control algorithm based on the estimated parameters and channel states is proposed. Numerical results indicate that a significant gain in performance can be achieved using the proposed algorithms.

Original language	English
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	3100-3105
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4283120
State	Published - 2007
Externally published	Yes
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	07/9/07 → 07/13/07

Access to Document

10.1109/ACC.2007.4283120

Cite this

@inproceedings{5acdd488e7da4c76a9fa768fa9b1fe92,

title = "Time varying wireless channel modeling, estimation, identification, and power control from measurements",

abstract = "This paper is concerned with a time-varying wireless channel modeling, its parameter estimation, system identification, and optimal power control from measurement data. The channel model is represented in state space form, while the Expectation Maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The inphase and quadrature components of the wireless channel and its parameters are estimated from received signal measurements. The proposed algorithm is tested using measurement data, and the results are presented. Moreover, an optimal power control algorithm based on the estimated parameters and channel states is proposed. Numerical results indicate that a significant gain in performance can be achieved using the proposed algorithms.",

author = "Olama, \{Mohammed M.\} and Li Yanyan and Djouadi, \{Seddik M.\} and Charalambous, \{Charalambos D.\}",

year = "2007",

doi = "10.1109/ACC.2007.4283120",

language = "English",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

pages = "3100--3105",

booktitle = "Proceedings of the 2007 American Control Conference, ACC",

note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

}

Olama, MM, Yanyan, L, Djouadi, SM & Charalambous, CD 2007, Time varying wireless channel modeling, estimation, identification, and power control from measurements. in Proceedings of the 2007 American Control Conference, ACC., 4283120, Proceedings of the American Control Conference, pp. 3100-3105, 2007 American Control Conference, ACC, New York, NY, United States, 07/9/07. https://doi.org/10.1109/ACC.2007.4283120

Time varying wireless channel modeling, estimation, identification, and power control from measurements. / Olama, Mohammed M.; Yanyan, Li; Djouadi, Seddik M. et al.
Proceedings of the 2007 American Control Conference, ACC. 2007. p. 3100-3105 4283120 (Proceedings of the American Control Conference).

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

TY - GEN

T1 - Time varying wireless channel modeling, estimation, identification, and power control from measurements

AU - Olama, Mohammed M.

AU - Yanyan, Li

AU - Djouadi, Seddik M.

AU - Charalambous, Charalambos D.

PY - 2007

Y1 - 2007

N2 - This paper is concerned with a time-varying wireless channel modeling, its parameter estimation, system identification, and optimal power control from measurement data. The channel model is represented in state space form, while the Expectation Maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The inphase and quadrature components of the wireless channel and its parameters are estimated from received signal measurements. The proposed algorithm is tested using measurement data, and the results are presented. Moreover, an optimal power control algorithm based on the estimated parameters and channel states is proposed. Numerical results indicate that a significant gain in performance can be achieved using the proposed algorithms.

AB - This paper is concerned with a time-varying wireless channel modeling, its parameter estimation, system identification, and optimal power control from measurement data. The channel model is represented in state space form, while the Expectation Maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The inphase and quadrature components of the wireless channel and its parameters are estimated from received signal measurements. The proposed algorithm is tested using measurement data, and the results are presented. Moreover, an optimal power control algorithm based on the estimated parameters and channel states is proposed. Numerical results indicate that a significant gain in performance can be achieved using the proposed algorithms.

UR - https://www.scopus.com/pages/publications/46449137287

U2 - 10.1109/ACC.2007.4283120

DO - 10.1109/ACC.2007.4283120

M3 - Conference contribution

AN - SCOPUS:46449137287

SN - 1424409888

SN - 9781424409884

T3 - Proceedings of the American Control Conference

SP - 3100

EP - 3105

BT - Proceedings of the 2007 American Control Conference, ACC

T2 - 2007 American Control Conference, ACC

Y2 - 9 July 2007 through 13 July 2007

ER -

Time varying wireless channel modeling, estimation, identification, and power control from measurements

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