Journal
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
Volume 23, Issue 1, Pages 41-69Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2020.3033748
Keywords
Noise measurement; Wireless communication; Frequency modulation; Smart grids; Broadband communication; Tutorials; Power-line communications; background noise; impulsive noise; narrow-band interference; noise modeling and mitigation techniques
Funding
- National Natural Science Foundation of China [62071268]
- China Postdoctoral Science Foundation [2020T130357]
- Engineering and Physical Sciences Research Council [EP/N004558/1, EP/P034284/1, EP/P003990/1]
- Royal Society's Global Challenges Research Fund
- European Research Council's Advanced Fellow Grant QuantCom
- EPSRC [EP/N029720/2, EP/N004558/1, EP/P034284/1] Funding Source: UKRI
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This article provides a review of noise modeling and mitigation techniques in power line communications (PLC), including the development of noise models, classification of mitigation schemes, and a literature review of joint noise mitigation and channel estimation solutions. Future research directions are also outlined.
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 non-parametric 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.
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