Journal
PHYSICAL COMMUNICATION
Volume 25, Issue -, Pages 268-276Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.phycom.2017.05.006
Keywords
Smart grid; In-home network; Power line communication; MIMO; Modulation identification
Funding
- Ningbo Natural science fund project [2016A610110]
- Open Research Fund of National Mobile Communications Research Laboratory, Southeast University [2017D04]
- National Natural Science Foundation of China [61501238]
- Jiangsu Provincial Science Foundation [BK20150786]
- Fundamental Research Funds for the Central Universities [30916011205]
- Specially Appointed Professor Program in Jiangsu Province
Ask authors/readers for more resources
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. (C) 2017 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available