A comparison of three-node two-way PLC channel models

Angie A.G. Liong, Lenin Gopal, Filbert H. Juwono, Choo W.R. Chiong, Yue Rong

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Two-way relay-based power-line communication (PLC) has been used in many smart grid applications. It is necessary to model the channel characteristics of such system in order to design a reliable communication link between premises and data centre. The channel transfer function (CTF) is preferred to be found using the bottom-up approach, as it represents the true topology of the PLC network. In this paper, we model a bottom-up multipath channel model for single relay two-way PLC channel based on transmission and reflection coefficients. We also compare the proposed model with the ABCD method and the voltage ratio approach (VRA) method. We show that the multipath model can well represent the two-way relay-based PLC channel.

Original languageEnglish
Title of host publicationProceedings - 13th International Conference on Advanced Technologies for Communications, ATC 2020
EditorsHoang Van Phuc, Nguyen Quoc Dinh, Tran Xuan Tu, Tran The Nghiep
PublisherIEEE Computer Society
Pages84-89
Number of pages6
ISBN (Electronic)9781728180656
DOIs
Publication statusPublished - 8 Oct 2020
Externally publishedYes
Event13th International Conference on Advanced Technologies for Communications, ATC 2020 - Nha Trang, Viet Nam
Duration: 8 Oct 202010 Oct 2020

Publication series

NameInternational Conference on Advanced Technologies for Communications
Volume2020-October
ISSN (Print)2162-1039
ISSN (Electronic)2162-1020

Conference

Conference13th International Conference on Advanced Technologies for Communications, ATC 2020
Country/TerritoryViet Nam
CityNha Trang
Period8/10/2010/10/20

Keywords

  • ABCD matrix
  • CTF
  • Channel model
  • PLC
  • Relay
  • VRA method

Fingerprint

Dive into the research topics of 'A comparison of three-node two-way PLC channel models'. Together they form a unique fingerprint.

Cite this