Statistical modeling of magnitudes of Brazilian in-home PLC and hybrid PLC-wireless channels

Nogueira, Thiago; Colen, Guilherme R.; Fernandes, Victor; Ribeiro, Moisés V.

doi:10.1016/j.phycom.2020.101014

Cited by 10 publications

(6 citation statements)

References 23 publications

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“…The basic flow of the GA is shown in Figure 4, and the specific work of each step is as follows: A number of initial populations represented by codes are generated in the solution space in a random manner, and the states of the codes depend on the accuracy of the band solving problem [22]; Evaluate all individuals according to their fitness function. The individuals with high fitness generate the next generation of the population through genetic operation, and the individuals with low fitness are eliminated [23]; A new generation of the population is formed by the collection of individuals subjected to genetic evolution operations (replication, crossover, and mutation) until the stopping criterion is satisfied; Take the individual with the best performance in the offspring as the execution result of the GA [24]. …”

Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

“…Evaluate all individuals according to their fitness function. The individuals with high fitness generate the next generation of the population through genetic operation, and the individuals with low fitness are eliminated [23];…”

Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

“…The individuals with high fitness generate the next generation of the population through genetic operation, and the individuals with low fitness are eliminated [23]; 3. A new generation of the population is formed by the collection of individuals subjected to genetic evolution operations (replication, crossover, and mutation) until the stopping criterion is satisfied; 4.…”

Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Feature extraction method of HPLC communication signal based on genetic algorithm

Tang¹,

Chang²,

Liang³

et al. 2023

IET Communications

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Communication quality is a key factor affecting the effectiveness of distribution network operation status management. Therefore, it is required that the communication performance of the distribution network management system be good, and the communication signal can directly reflect the communication quality. Therefore, a genetic algorithm (GA) based HPLC communication signal feature extraction method is proposed. The process of constructing reference samples, training recognition models, constructing noise samples, self‐coding denoising processing, and denoising sample recognition has completed the identification of power line channel transmission characteristics. The state feature quantity of the topological line is based on the positioning results of the diagnostic function, and the calculated value of the reflection coefficient calculation model at the head end of the topological line is compared with the measured value. By optimizing the feature quantities containing topological line states through GAs, abnormal feature quantities close to the true state of topological lines are obtained. Experimental analysis shows that this method can correctly identify the position of reactive power compensation in the transmission line, and can also correctly identify the extraction of topological anomaly features. Therefore, the research method is of great significance in improving the safe operation of power systems and extending the service life of topology lines.

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Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

Section: Basic Flow and Realization Of Genetic Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Feature extraction method of HPLC communication signal based on genetic algorithm

Tang¹,

Chang²,

Liang³

et al. 2023

IET Communications

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show abstract

“…Hence, with the covariance matrix and their expected values, it is easy to numerically generate log-normal sub-channels from a set of independent normal random variables using the Cholesky decomposition [47]. The same approach can be adopted for the SP and LP channels since they follow a log-normal distribution [48]. It is important to highlight that based on correlation results showed in Fig.…”

Section: A Channel Generationmentioning

confidence: 99%

The Effective Secrecy Throughput of a Broadband Power Line Communication System Under the Presence of Colluding Wireless Eavesdroppers

2022

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This paper investigates the physical layer security of in-home and broadband power line communications (PLC) systems threatened by colluding wireless communication (WLC) eavesdroppers, which are localized near or far from the transmitter and operate in the same frequency band. In this regard, we show that PLC and hybrid PLC-WLC channels can be considered as uncorrelated random processes. In the sequel, we confirm the severity of a WLC eavesdropper or a group of them located near the transmitter. Also, we show that a group of colluding WLC eavesdroppers located far from the transmitter poses the same security risk of only one WLC eavesdropper located near the transmitter. Finally, a discussion of wiretap code rates for achieving effective secrecy throughput is presented.INDEX TERMS Eavesdropping, physical layer security, power line communication, wireless communication.

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“…Only few results on the usefulness of HP-W systems have been reported in the literature, as it can still be considered an incipient technology for assisting emerging applications, such as IoT, smart grid and smart city. Regarding in-home facilities, [2] addressed statistic analysis of parameters applied to analyze the suitability of HP-W media for data communication purposes; [3] discussed a statistical model of the channel frequency response (CFR) magnitude in in-home facilities; [4] dealt with the physical layer security of PLC system threatened by a malicious wireless device, and [5] focused on energy harvesting aspects related to these channels.…”

Section: Introductionmentioning

confidence: 99%

The wireless signal propagation in hybrid PLC-wireless channels: A first analysis

Albuquerque¹,

Oliveira²,

Picorone³

et al. 2020

Anais De XXXVIII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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This work advances the study of indoor hybrid PLC-wireless channels when the frequency band delimited by 1.7 MHz and 100 MHz is taken into account. In this sense, a measurement campaign was carried out in a building facility to investigate the wireless signal propagation of these kind of channels. Based on the collected measures of PLC-wireless channels and additive noises, it is reported a agreement with previous works, in terms of average channel gain, power spectral density of additive noise and achievable data rates. Also, numerical results show that wireless signal propagation part of PLC-wireless channels can offer several hundreds of Mbps if a wireless device is located up to 6 meters from the power lines. Also, they show that PLC-wireless systems can be powerful tools to benefit wireless communication inside an office.

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Statistical modeling of magnitudes of Brazilian in-home PLC and hybrid PLC-wireless channels

Cited by 10 publications

References 23 publications

Feature extraction method of HPLC communication signal based on genetic algorithm

Feature extraction method of HPLC communication signal based on genetic algorithm

The Effective Secrecy Throughput of a Broadband Power Line Communication System Under the Presence of Colluding Wireless Eavesdroppers

The wireless signal propagation in hybrid PLC-wireless channels: A first analysis

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