Electro magnetic compatibility for Power Line Communications

Pagani, Pascal; Razafferson, R.; Zeddam, A.; Praho, Brice; Tlich, Mohamed; Baudais, Jean-Yves; Maiga, Ali; Isson, Olivier; Mijic, G.; Kriznar, K.; Drakul, S.L.

doi:10.1109/pimrc.2010.5671825

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…For signals with spectral content at high frequencies, electric power circuits considerably attenuate the signal propagation in a dynamic manner. In addition, electromagnetic interference and compatibility with other telecommunications equipment operating in the same frequency range as the PLC device -both physically connected to electric power circuits -constitute severe concerns for the use of electric power systems for data communication purposes [3]. The hostile characteristics of electric power systems for transmitting carrying-signals information and the existing regulatory constraints motivate flexible spectrum access, which is based on the cognitive radio (CR) concept [4], for dealing with the unique characteristics of PLC systems [5].…”

Section: Introductionmentioning

confidence: 99%

An Improved Spectrum Sensing for Cognitive PLC Systems

Menezes¹,

Coutinho²,

Ribeiro³

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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This paper introduces an improved spectrum sensing technique that exploits the existing information in the signals received from both electric power grids and wireless media to allow power line communication systems to monitor the spectrum occupancy/holes in the frequency band between 1.7 and 100 MHz. The applied procedure for implementing the proposed technique is organized in time-frequency mapping, selection and extraction of quanta, features extraction and selection, and detection. The attained results based on a measured data set show that the performance of techniques based on neural networks is far superior when compared to the techniques based on Bayes.

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Section: Introductionmentioning

confidence: 99%

An Improved Spectrum Sensing for Cognitive PLC Systems

Menezes¹,

Coutinho²,

Ribeiro³

2021

Anais Do XXXIX Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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“…To overcome this problem, several mitigation techniques have been proposed and introduced in some regulation and standardization documents to protect radio frequencies. The majority of these techniques are based on fixed, dynamic, and prefixed notching techniques [3], [4]. However, it is well known that the usability of the spectrum by primary users are time and spatial dependent and the scarcity of the spectrum for data communication, mainly for SGC, is pushing forward the introduction of cognitive concepts to improve the performance of PLC systems [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…Fabrício P. V. de Campos is with Electrical Engineering Program,COPPE/Federal University of Rio de Janeiro 68504, 21945-970, Rio de Janeiro, RJ, Brazil E-mail: fcampos@lps.ufrj.br.This paper was supported in part by FAPEMIG, CNPq, CAPES, CAPES-PNPD, FINEP, P&D ANEEL, and INERGE. through a capacitive coupler or on an antenna [4], [7], [8]. Cooperative spectrum monitoring techniques are adequate to detect radio frequencies when the signal is measured directly on the power line cable [3].…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sensing for Powering Power Line Communications

Amado¹,

Losqui²,

Ribeiro³

et al. 2012

Anais De XXX Simpósio Brasileiro De Telecomunicações

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The use of electric grids for communication purposes may interfere with radio communication services. To offer new directions to avoid electromagnetic interference that reduces the effectiveness of electric power grids as a green and lowcost communication channel, this paper discusses and introduces spectrum sensing techniques for cognitive power line communication (PLC) systems. Additionally, a measurement campaign for monitoring the radio spectrum in the range from 1.7 to 100 MHz is discussed as well as attained results with the spectrum sensing technique. The numerical results indicate the proposed spectrum sensing technique can offer good performance in a cognitive PLC systems.

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