Fifty years of noise modeling and mitigation in power-line communications
Fifty years of noise modeling and mitigation in power-line communications
Building on the ubiquity of electric power infrastructure, power line communications (PLC) has been successfully used in diverse application scenarios, including the smart grid and in-home broadband communications systems as well as industrial and home automation. However, the power line channel exhibits deleterious properties, one of which is its hostile noise environment. This article aims for providing a review of noise
modeling and mitigation techniques in PLC. Specifically, a comprehensive review of representative noise models developed over the past fifty years is presented, including both the empirical models based on measurement campaigns and simplified mathematical models. Following this, we provide an extensive survey of the suite of noise mitigation schemes, categorizing them into mitigation at the transmitter as well as parametric and nonparametric techniques employed at the receiver. Furthermore,
since the accuracy of channel estimation in PLC is affected by noise, we review the literature of joint noise mitigation and channel estimation solutions. Finally, a number of directions are outlined for future research on both noise modeling and mitigation in PLC.
Broadband communication, Frequency modulation, Noise measurement, Power-line communications, Smart grids, Tutorials, Wireless communication, background noise, impulsive noise, narrow-band interference, noise modeling and mitigation techniques.
Bai, Tong
15e00a16-2ade-4fdb-a4d9-a490a526669a
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Elkashlan, Maged
3232bd0d-f3f7-4c1e-a84e-5086580c70f1
Nallanathan, Arumugam
8accfa88-3b13-4cda-b080-0d247c6058e9
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Bai, Tong
15e00a16-2ade-4fdb-a4d9-a490a526669a
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Elkashlan, Maged
3232bd0d-f3f7-4c1e-a84e-5086580c70f1
Nallanathan, Arumugam
8accfa88-3b13-4cda-b080-0d247c6058e9
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Bai, Tong, Zhang, Hongming, Xu, Chao, Elkashlan, Maged, Nallanathan, Arumugam and Hanzo, Lajos
(2020)
Fifty years of noise modeling and mitigation in power-line communications.
IEEE Communications Surveys & Tutorials.
(doi:10.1109/COMST.2020.3033748).
Abstract
Building on the ubiquity of electric power infrastructure, power line communications (PLC) has been successfully used in diverse application scenarios, including the smart grid and in-home broadband communications systems as well as industrial and home automation. However, the power line channel exhibits deleterious properties, one of which is its hostile noise environment. This article aims for providing a review of noise
modeling and mitigation techniques in PLC. Specifically, a comprehensive review of representative noise models developed over the past fifty years is presented, including both the empirical models based on measurement campaigns and simplified mathematical models. Following this, we provide an extensive survey of the suite of noise mitigation schemes, categorizing them into mitigation at the transmitter as well as parametric and nonparametric techniques employed at the receiver. Furthermore,
since the accuracy of channel estimation in PLC is affected by noise, we review the literature of joint noise mitigation and channel estimation solutions. Finally, a number of directions are outlined for future research on both noise modeling and mitigation in PLC.
Text
CST_2020_1022
- Accepted Manuscript
More information
Accepted/In Press date: 22 October 2020
e-pub ahead of print date: 26 October 2020
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Broadband communication, Frequency modulation, Noise measurement, Power-line communications, Smart grids, Tutorials, Wireless communication, background noise, impulsive noise, narrow-band interference, noise modeling and mitigation techniques.
Identifiers
Local EPrints ID: 444861
URI: http://eprints.soton.ac.uk/id/eprint/444861
ISSN: 1553-877X
PURE UUID: 03eef001-8fd7-4984-ab17-86031c536e0d
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Date deposited: 06 Nov 2020 17:33
Last modified: 18 Mar 2024 03:17
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Contributors
Author:
Tong Bai
Author:
Hongming Zhang
Author:
Chao Xu
Author:
Maged Elkashlan
Author:
Arumugam Nallanathan
Author:
Lajos Hanzo
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