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A Cognitive Radio based for Smart Grid AMI Network using Adaptive Algorithm

  • Thapa, Prakash (Dept. of Electronics Engineering, Mokpo National University) ;
  • Acharya, Shree Krishna (Dept. of Electronics Engineering, Mokpo National University) ;
  • Paik, Jong-Gil (Dept. of Electronics Engineering, Mokpo National University) ;
  • Choi, Sang-Gil (Dept. of Electronics Engineering, Mokpo National University) ;
  • Jun, Hae-Ji (Dept. of Electronics Engineering, Mokpo National University) ;
  • Kim, Seong-Whan (Dept. of Information and Communication Engineering, Mokpo National University) ;
  • Lee, Seong Ro (Dept. of Electronics Engineering, Mokpo National University) ;
  • Lee, Yeonwoo (Dept. of Information and Communication Engineering, Mokpo National University)
  • Received : 2016.06.20
  • Accepted : 2016.07.23
  • Published : 2016.08.31

Abstract

Maximum utilization of unused license spectrum is one of key factor in cognitive radio network which can handle the large number of systems and devices connected on smart grid AMI network. The central intelligence control system has responsibility to accept new technologies and users for automation. To ensure a reliable communication in smart grid system through cognitive network, a minimum mean square error (MSE) signal using unused licensed spectrum (or frequency) is necessary to be detected with small decision error. In this paper, we introduce a user control wireless smart grid system with minimum MSE using LMS algorithm.

Keywords

References

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