System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation

Ido Nevat; Gareth W. Peters; Jinhong Yuan; Iain B. Collings

doi:10.1109/WCNC.2012.6214392

System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation

Ido Nevat^*, Gareth W. Peters, Jinhong Yuan, Iain B. Collings

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We present a flexible class of stochastic models that are developed for cooperative wireless relay networks systems, in which the relay processing functionality is not known at the destination. The challenge is then to perform system identification in this wireless relay network. We first construct a statistical model based on a representation of the system using Gaussian Processes. We then develop a computationally efficient algorithm which is based on the Iterated Conditioning on the Modes estimation to undertake system identification for each relay in the presence of partial Channel State Information (CSI). We evaluate the identification performance for different non-linear relay functionalities.

Original language	English
Title of host publication	2012 IEEE Wireless Communications and Networking Conference (WCNC)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	369-374
Number of pages	6
ISBN (Electronic)	9781467304375
ISBN (Print)	9781467304368
DOIs	https://doi.org/10.1109/WCNC.2012.6214392
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France Duration: 1 Apr 2012 → 4 Apr 2012

Other

Other	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/Territory	France
City	Paris
Period	1/04/12 → 4/04/12

Keywords

Gaussian processes
Kernel methods
Relay networks
System identification

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10.1109/WCNC.2012.6214392

Cite this

Nevat, I., Peters, G. W., Yuan, J., & Collings, I. B. (2012). System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation. In 2012 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 369-374). [6214392] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WCNC.2012.6214392

@inproceedings{da24a09b2d7a443b98ac62fbb2413975,

title = "System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation",

abstract = "We present a flexible class of stochastic models that are developed for cooperative wireless relay networks systems, in which the relay processing functionality is not known at the destination. The challenge is then to perform system identification in this wireless relay network. We first construct a statistical model based on a representation of the system using Gaussian Processes. We then develop a computationally efficient algorithm which is based on the Iterated Conditioning on the Modes estimation to undertake system identification for each relay in the presence of partial Channel State Information (CSI). We evaluate the identification performance for different non-linear relay functionalities.",

keywords = "Gaussian processes, Kernel methods, Relay networks, System identification",

author = "Ido Nevat and Peters, {Gareth W.} and Jinhong Yuan and Collings, {Iain B.}",

year = "2012",

doi = "10.1109/WCNC.2012.6214392",

language = "English",

isbn = "9781467304368",

pages = "369--374",

booktitle = "2012 IEEE Wireless Communications and Networking Conference (WCNC)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 ; Conference date: 01-04-2012 Through 04-04-2012",

}

Nevat, I, Peters, GW, Yuan, J & Collings, IB 2012, System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation. in 2012 IEEE Wireless Communications and Networking Conference (WCNC)., 6214392, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 369-374, 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, 1/04/12. https://doi.org/10.1109/WCNC.2012.6214392

System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation. / Nevat, Ido; Peters, Gareth W.; Yuan, Jinhong et al.
2012 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 369-374 6214392.

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

TY - GEN

T1 - System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation

AU - Nevat, Ido

AU - Peters, Gareth W.

AU - Yuan, Jinhong

AU - Collings, Iain B.

PY - 2012

Y1 - 2012

N2 - We present a flexible class of stochastic models that are developed for cooperative wireless relay networks systems, in which the relay processing functionality is not known at the destination. The challenge is then to perform system identification in this wireless relay network. We first construct a statistical model based on a representation of the system using Gaussian Processes. We then develop a computationally efficient algorithm which is based on the Iterated Conditioning on the Modes estimation to undertake system identification for each relay in the presence of partial Channel State Information (CSI). We evaluate the identification performance for different non-linear relay functionalities.

AB - We present a flexible class of stochastic models that are developed for cooperative wireless relay networks systems, in which the relay processing functionality is not known at the destination. The challenge is then to perform system identification in this wireless relay network. We first construct a statistical model based on a representation of the system using Gaussian Processes. We then develop a computationally efficient algorithm which is based on the Iterated Conditioning on the Modes estimation to undertake system identification for each relay in the presence of partial Channel State Information (CSI). We evaluate the identification performance for different non-linear relay functionalities.

KW - Gaussian processes

KW - Kernel methods

KW - Relay networks

KW - System identification

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U2 - 10.1109/WCNC.2012.6214392

DO - 10.1109/WCNC.2012.6214392

M3 - Conference proceeding contribution

AN - SCOPUS:84864337176

SN - 9781467304368

SP - 369

EP - 374

BT - 2012 IEEE Wireless Communications and Networking Conference (WCNC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

Y2 - 1 April 2012 through 4 April 2012

ER -

System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation

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