Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise

Yun Ai, Tomoaki Ohtsuki, Michael Cheffena

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Power line communication (PLC) is an emerging technology for the realization of smart grid and home automation. It utilizes existing power line infrastructure for data communication in addition to the transmission of power. The PLC channel behaves significantly different from the wireless channel; and it is characterized by signal attenuation as well as by additive noise and multiplicative noise effects. The additive noise consists of background noise and impulsive noise; while the multiplicative noise results in fading of the received signal power. This paper focuses on the impact of the PLC channel characteristics on the outage and BER performance of a PLC system over Rayleigh fading channel with frequency- distance dependent attenuation and colored Nakagami-m distributed additive noise. We derive the exact closed-form expressions for the distribution of the instantaneous signal-to-noise ratio (SNR) and show the detector based the maximum Likelihood (ML) criterion as well as a simple but effecient suboptimal detector. Monte Carlo simulation results are used to verify the derived analytical expressions.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2017-June
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 2017 Nov 14
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 2017 Jun 42017 Jun 7

Other

Other85th IEEE Vehicular Technology Conference, VTC Spring 2017
CountryAustralia
CitySydney
Period17/6/417/6/7

Fingerprint

Additive noise
Fading Channels
Fading channels
Performance Analysis
Additive Noise
Line
Communication
Multiplicative Noise
Detectors
Communication Channels
Impulse noise
Attenuation
Rayleigh fading
Outages
Maximum likelihood
Detector
Signal to noise ratio
Communication systems
Impulsive Noise
Automation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Ai, Y., Ohtsuki, T., & Cheffena, M. (2017). Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings (Vol. 2017-June). [8108404] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2017.8108404

Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise. / Ai, Yun; Ohtsuki, Tomoaki; Cheffena, Michael.

2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017. 8108404.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ai, Y, Ohtsuki, T & Cheffena, M 2017, Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise. in 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. vol. 2017-June, 8108404, Institute of Electrical and Electronics Engineers Inc., 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 17/6/4. https://doi.org/10.1109/VTCSpring.2017.8108404
Ai Y, Ohtsuki T, Cheffena M. Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Vol. 2017-June. Institute of Electrical and Electronics Engineers Inc. 2017. 8108404 https://doi.org/10.1109/VTCSpring.2017.8108404
Ai, Yun ; Ohtsuki, Tomoaki ; Cheffena, Michael. / Performance Analysis of PLC over Fading Channels with Colored Nakagami-m Background Noise. 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Vol. 2017-June Institute of Electrical and Electronics Engineers Inc., 2017.
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