Practical issues in parameter estimation over fading channels with TBMA wireless sensor networks

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

6 Citations (Scopus)

Abstract

Some practical issues in parameter estimation over fading channels with type-based multiple access (TBMA) sensor networks is studied in this paper, where the parameter of interest is estimated through the empirical distribution of the observations. In the literature, the asymptotically optimal estimator requires the transmitted signal waveforms to be orthogonal to represent different observations. Meanwhile, the channels between the sensors and the fusion center need to be non zero-mean. If the channel is zero-mean, channel state information (CSI) at sensor side is required. However, in practice, imperfect CSI, or interference between the orthogonal waveform dimensions, such as synchronization error, cannot be avoided, and may be unknown at the fusion center. How these practical issues affect the asymptotic optimality of the existing estimator and its performance are discussed in this paper. A unified framework for estimation with these practical constraints is proposed, which includes the imperfect CSI and synchronization error as special cases. The conditions under which the asymptotically optimal estimator requires the knowledge of the channel or interference statistics at the fusion center are derived. Furthermore, how the interference affects the performance of the asymptotically optimal estimator is characterized. Simulation results corroborate our analysis.

Original languageEnglish (US)
Title of host publicationGLOBECOM - IEEE Global Telecommunications Conference
DOIs
StatePublished - 2006
EventIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference - San Francisco, CA, United States
Duration: Nov 27 2006Dec 1 2006

Other

OtherIEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
CountryUnited States
CitySan Francisco, CA
Period11/27/0612/1/06

Fingerprint

Channel state information
Fading channels
Parameter estimation
Wireless sensor networks
Fusion reactions
Synchronization
Sensors
Sensor networks
Statistics

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Practical issues in parameter estimation over fading channels with TBMA wireless sensor networks. / Gao, Ping; Tepedelenlioglu, Cihan.

GLOBECOM - IEEE Global Telecommunications Conference. 2006. 4151611.

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

Gao, P & Tepedelenlioglu, C 2006, Practical issues in parameter estimation over fading channels with TBMA wireless sensor networks. in GLOBECOM - IEEE Global Telecommunications Conference., 4151611, IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference, San Francisco, CA, United States, 11/27/06. https://doi.org/10.1109/GLOCOM.2006.981
@inproceedings{6a23195428f44bd2bd7f91327441c52f,
title = "Practical issues in parameter estimation over fading channels with TBMA wireless sensor networks",
abstract = "Some practical issues in parameter estimation over fading channels with type-based multiple access (TBMA) sensor networks is studied in this paper, where the parameter of interest is estimated through the empirical distribution of the observations. In the literature, the asymptotically optimal estimator requires the transmitted signal waveforms to be orthogonal to represent different observations. Meanwhile, the channels between the sensors and the fusion center need to be non zero-mean. If the channel is zero-mean, channel state information (CSI) at sensor side is required. However, in practice, imperfect CSI, or interference between the orthogonal waveform dimensions, such as synchronization error, cannot be avoided, and may be unknown at the fusion center. How these practical issues affect the asymptotic optimality of the existing estimator and its performance are discussed in this paper. A unified framework for estimation with these practical constraints is proposed, which includes the imperfect CSI and synchronization error as special cases. The conditions under which the asymptotically optimal estimator requires the knowledge of the channel or interference statistics at the fusion center are derived. Furthermore, how the interference affects the performance of the asymptotically optimal estimator is characterized. Simulation results corroborate our analysis.",
author = "Ping Gao and Cihan Tepedelenlioglu",
year = "2006",
doi = "10.1109/GLOCOM.2006.981",
language = "English (US)",
isbn = "142440357X",
booktitle = "GLOBECOM - IEEE Global Telecommunications Conference",

}

TY - GEN

T1 - Practical issues in parameter estimation over fading channels with TBMA wireless sensor networks

AU - Gao, Ping

AU - Tepedelenlioglu, Cihan

PY - 2006

Y1 - 2006

N2 - Some practical issues in parameter estimation over fading channels with type-based multiple access (TBMA) sensor networks is studied in this paper, where the parameter of interest is estimated through the empirical distribution of the observations. In the literature, the asymptotically optimal estimator requires the transmitted signal waveforms to be orthogonal to represent different observations. Meanwhile, the channels between the sensors and the fusion center need to be non zero-mean. If the channel is zero-mean, channel state information (CSI) at sensor side is required. However, in practice, imperfect CSI, or interference between the orthogonal waveform dimensions, such as synchronization error, cannot be avoided, and may be unknown at the fusion center. How these practical issues affect the asymptotic optimality of the existing estimator and its performance are discussed in this paper. A unified framework for estimation with these practical constraints is proposed, which includes the imperfect CSI and synchronization error as special cases. The conditions under which the asymptotically optimal estimator requires the knowledge of the channel or interference statistics at the fusion center are derived. Furthermore, how the interference affects the performance of the asymptotically optimal estimator is characterized. Simulation results corroborate our analysis.

AB - Some practical issues in parameter estimation over fading channels with type-based multiple access (TBMA) sensor networks is studied in this paper, where the parameter of interest is estimated through the empirical distribution of the observations. In the literature, the asymptotically optimal estimator requires the transmitted signal waveforms to be orthogonal to represent different observations. Meanwhile, the channels between the sensors and the fusion center need to be non zero-mean. If the channel is zero-mean, channel state information (CSI) at sensor side is required. However, in practice, imperfect CSI, or interference between the orthogonal waveform dimensions, such as synchronization error, cannot be avoided, and may be unknown at the fusion center. How these practical issues affect the asymptotic optimality of the existing estimator and its performance are discussed in this paper. A unified framework for estimation with these practical constraints is proposed, which includes the imperfect CSI and synchronization error as special cases. The conditions under which the asymptotically optimal estimator requires the knowledge of the channel or interference statistics at the fusion center are derived. Furthermore, how the interference affects the performance of the asymptotically optimal estimator is characterized. Simulation results corroborate our analysis.

UR - http://www.scopus.com/inward/record.url?scp=50849154445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50849154445&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2006.981

DO - 10.1109/GLOCOM.2006.981

M3 - Conference contribution

AN - SCOPUS:50849154445

SN - 142440357X

SN - 9781424403578

BT - GLOBECOM - IEEE Global Telecommunications Conference

ER -