Multiple carrier frequency offsets estimation in cooperative networks: An experimental study

Akber Raza; Amna Aziz; Syed Muhammad Ali Qasim Naqvi; Syed Ali Hassan; Ali Arshad Nasir

doi:10.1109/IWCMC.2017.7986304

Multiple carrier frequency offsets estimation in cooperative networks: An experimental study

Akber Raza, Amna Aziz, Syed Muhammad Ali Qasim Naqvi, Syed Ali Hassan, Ali Arshad Nasir

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

Abstract

Cooperative spatial diversity allows for more robust wireless networks with higher capacity and data rates. These diversity gains, however, diminish with the multiple carrier frequency offsets (CFOs) that arise due to distributed transmissions over independent channels. A number of techniques have been proposed for multiple CFO estimation, however, their empirical performance remains to be analyzed. This paper seeks to experimentally analyze the performance of the iterative MUltiple SIgnal Characterization (I-MUSIC) algorithm for decode-and-forward (DF) relaying on the universal software radio peripheral (USRP) platforms. The results show that the aforementioned algorithm performs reasonably well, in both line-of-sight (LoS) and non-line-of-sight (NLoS) channels, in terms of mean squared error (MSE) of the estimated CFOs. However, the performance margin greatly depends on the type of environment and the number of data symbols used for estimation.

Original language	English
Title of host publication	2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	305-310
Number of pages	6
ISBN (Electronic)	9781509043729
DOIs	https://doi.org/10.1109/IWCMC.2017.7986304
State	Published - 19 Jul 2017

Publication series

Name	2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Cooperative communications
GNU Radios
I-MUSIC
LoS
Multiple carrier frequency offset estimation
NLoS
USRPs

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Signal Processing

Access to Document

10.1109/IWCMC.2017.7986304

Cite this

Raza, A., Aziz, A., Naqvi, S. M. A. Q., Hassan, S. A., & Nasir, A. A. (2017). Multiple carrier frequency offsets estimation in cooperative networks: An experimental study. In 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017 (pp. 305-310). Article 7986304 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2017.7986304

Raza, Akber ; Aziz, Amna ; Naqvi, Syed Muhammad Ali Qasim et al. / Multiple carrier frequency offsets estimation in cooperative networks : An experimental study. 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 305-310 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017).

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title = "Multiple carrier frequency offsets estimation in cooperative networks: An experimental study",

abstract = "Cooperative spatial diversity allows for more robust wireless networks with higher capacity and data rates. These diversity gains, however, diminish with the multiple carrier frequency offsets (CFOs) that arise due to distributed transmissions over independent channels. A number of techniques have been proposed for multiple CFO estimation, however, their empirical performance remains to be analyzed. This paper seeks to experimentally analyze the performance of the iterative MUltiple SIgnal Characterization (I-MUSIC) algorithm for decode-and-forward (DF) relaying on the universal software radio peripheral (USRP) platforms. The results show that the aforementioned algorithm performs reasonably well, in both line-of-sight (LoS) and non-line-of-sight (NLoS) channels, in terms of mean squared error (MSE) of the estimated CFOs. However, the performance margin greatly depends on the type of environment and the number of data symbols used for estimation.",

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author = "Akber Raza and Amna Aziz and Naqvi, \{Syed Muhammad Ali Qasim\} and Hassan, \{Syed Ali\} and Nasir, \{Ali Arshad\}",

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year = "2017",

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doi = "10.1109/IWCMC.2017.7986304",

language = "English",

series = "2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017",

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Raza, A, Aziz, A, Naqvi, SMAQ, Hassan, SA & Nasir, AA 2017, Multiple carrier frequency offsets estimation in cooperative networks: An experimental study. in 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017., 7986304, 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 305-310. https://doi.org/10.1109/IWCMC.2017.7986304

Multiple carrier frequency offsets estimation in cooperative networks: An experimental study. / Raza, Akber; Aziz, Amna; Naqvi, Syed Muhammad Ali Qasim et al.
2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 305-310 7986304 (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017).

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

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AU - Aziz, Amna

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AU - Nasir, Ali Arshad

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N2 - Cooperative spatial diversity allows for more robust wireless networks with higher capacity and data rates. These diversity gains, however, diminish with the multiple carrier frequency offsets (CFOs) that arise due to distributed transmissions over independent channels. A number of techniques have been proposed for multiple CFO estimation, however, their empirical performance remains to be analyzed. This paper seeks to experimentally analyze the performance of the iterative MUltiple SIgnal Characterization (I-MUSIC) algorithm for decode-and-forward (DF) relaying on the universal software radio peripheral (USRP) platforms. The results show that the aforementioned algorithm performs reasonably well, in both line-of-sight (LoS) and non-line-of-sight (NLoS) channels, in terms of mean squared error (MSE) of the estimated CFOs. However, the performance margin greatly depends on the type of environment and the number of data symbols used for estimation.

AB - Cooperative spatial diversity allows for more robust wireless networks with higher capacity and data rates. These diversity gains, however, diminish with the multiple carrier frequency offsets (CFOs) that arise due to distributed transmissions over independent channels. A number of techniques have been proposed for multiple CFO estimation, however, their empirical performance remains to be analyzed. This paper seeks to experimentally analyze the performance of the iterative MUltiple SIgnal Characterization (I-MUSIC) algorithm for decode-and-forward (DF) relaying on the universal software radio peripheral (USRP) platforms. The results show that the aforementioned algorithm performs reasonably well, in both line-of-sight (LoS) and non-line-of-sight (NLoS) channels, in terms of mean squared error (MSE) of the estimated CFOs. However, the performance margin greatly depends on the type of environment and the number of data symbols used for estimation.

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Raza A, Aziz A, Naqvi SMAQ, Hassan SA, Nasir AA. Multiple carrier frequency offsets estimation in cooperative networks: An experimental study. In 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 305-310. 7986304. (2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017). doi: 10.1109/IWCMC.2017.7986304

Multiple carrier frequency offsets estimation in cooperative networks: An experimental study

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this