A cooperative modulation recognition

New paradigm for power line networks in smart grid

Hai Yu, Liuqiang Shi, Yuwen Qian, Feng Shu, Jun Li, Yixueying Zhao, Dushantha Nalin K. Jayakody

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Power Line communication (PLC) is an attractive approach to provide information transfer services for future smart grids. However, since various modulations are adopted, it is a great challenge to add new nodes to collect the data from the devices or sensors in in-home PLC networks. In this paper, we propose an approach to automatically access to the PLC network by identifying the modulation of signals. To improve the correct recognition rate on identification of modulations, we propose a multiple input and multiple output (MIMO) based cooperative modulation identification scheme. After receiving the recognition results from accessing nodes, the central server makes the comprehensive and accurate recognition decision on the modulation of the PLC network. Furthermore, the fourth-order cumulants for multiple users are adopted as the feature for this modulation classifier. With the feature, we propose an improved modulation classification algorithm based on the maximum likelihood. Simulations show that a high detection rate and low false positive rate can be achieved as we employ the cooperative modulation identifying scheme and the improved recognition algorithm.

Original languageEnglish
JournalPhysical Communication
DOIs
Publication statusAccepted/In press - 11 Feb 2017

Fingerprint

power lines
grids
Modulation
modulation
communication networks
Telecommunication networks
information transfer
classifiers
Maximum likelihood
Classifiers
Servers
communication
output
sensors
Communication
Sensors

Keywords

  • In-home network
  • MIMO
  • Modulation identification
  • Power line communication
  • Smart grid

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

A cooperative modulation recognition : New paradigm for power line networks in smart grid. / Yu, Hai; Shi, Liuqiang; Qian, Yuwen; Shu, Feng; Li, Jun; Zhao, Yixueying; Jayakody, Dushantha Nalin K.

In: Physical Communication, 11.02.2017.

Research output: Contribution to journalArticle

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AU - Li, Jun

AU - Zhao, Yixueying

AU - Jayakody, Dushantha Nalin K.

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N2 - Power Line communication (PLC) is an attractive approach to provide information transfer services for future smart grids. However, since various modulations are adopted, it is a great challenge to add new nodes to collect the data from the devices or sensors in in-home PLC networks. In this paper, we propose an approach to automatically access to the PLC network by identifying the modulation of signals. To improve the correct recognition rate on identification of modulations, we propose a multiple input and multiple output (MIMO) based cooperative modulation identification scheme. After receiving the recognition results from accessing nodes, the central server makes the comprehensive and accurate recognition decision on the modulation of the PLC network. Furthermore, the fourth-order cumulants for multiple users are adopted as the feature for this modulation classifier. With the feature, we propose an improved modulation classification algorithm based on the maximum likelihood. Simulations show that a high detection rate and low false positive rate can be achieved as we employ the cooperative modulation identifying scheme and the improved recognition algorithm.

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