Resource Allocation for Relay-Based OFDMA Power Line Communication System

Zhu, Qing; Chen, Zhimin; He, Xinyi

doi:10.3390/electronics8020125

Cited by 8 publications

(5 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results of this work provide a proper characterization of NIE in different scenarios, in the frequency range up to 500 kHz, in order to contribute with useful information for current configurations of robustness techniques for NB-PLC [57,58] and target mitigation actions [59][60][61].…”

Section: Discussionmentioning

confidence: 99%

Field Trials for the Characterization of Non-Intentional Emissions at Low-Voltage Grid in the Frequency Range Assigned to NB-PLC Technologies

et al. 2019

View full text Add to dashboard Cite

The paper describes the results of a measurement campaign to characterize the non-intentional emissions (NIE) that are present in the low voltage section of the electrical grid, within the frequency range assigned to narrowband power line communications (NB-PLC), from 20 kHz to 500 kHz. These NIE may severely degrade the quality of the communications and, in some cases, even isolate the transmission devices. For this reason, the identification and characterization of these perturbations are important aspects for the proper performance of the smart grid services based on PLC. The proper characterization of NIE in this frequency range is a key aspect for the selection of efficient configurations to find the best trade-off between data throughput and robustness, or even for the definition of new improved error detection and correction methods. The huge number of types of NIE, together with the wide variety of grid topologies and loads distribution (density and location of homes and industrial facilities) are great challenges that complicate the thorough characterization of NIE. This work contributes with results from field trials in different scenarios, the identification of different types of NIE and the characterization both in time and frequency domains of all the registered disturbances. This contribution will be helpful for a better knowledge of the electrical grid as a transmission medium for PLC and, therefore, for evaluating the appropriateness of different robustness techniques to be applied in the next generation of smart grid services.

show abstract

Section: Discussionmentioning

confidence: 99%

Field Trials for the Characterization of Non-Intentional Emissions at Low-Voltage Grid in the Frequency Range Assigned to NB-PLC Technologies

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Therefore, the results of this work provide a proper characterization of NIE in different scenarios, in the frequency range up to 500 kHz, in order to contribute with useful information for current configurations of robustness techniques for NB-PLC [57,58] and target mitigation actions [59][60][61]. A standardized measurement method would also be beneficial for the calibration of LISN-based networks in lab EMC tests (LISN: Line Impedance Stabilization Network).…”

Section: Relative Amplitude Errormentioning

confidence: 99%

Comparison of Measurement Methods of LV Grid Access Impedance in the Frequency Range Assigned to Nb‑Plc Technologies

et al. 2019

View full text Add to dashboard Cite

The paper presents and evaluates three advanced methods for the characterization of the low-voltage (LV) grid access impedance for the frequency range assigned to Narrow Band-Power Line Communications (NB-PLC): 9 kHz to 500 kHz. This study responds to the recent demand from both regulatory bodies and Distribution System Operators about the need for accurate and validated methods for this frequency band, due to the limited knowledge of the impedance values in the electrical grid and their influence on NB-PLC transmission channels. In this paper, the results of a collaborative work to develop different proposals to overcome the challenges for the proper characterization of the frequency and time-varying grid impedance, from different theoretical approaches, are presented. The methods are compared in a controlled and isolated scenario: the impedance characterization of passive filters. Then, the results are validated two-fold: first, against theoretical simulations, based on the schematics provided by the manufacturer, and second, against the measurement results of a precision impedance meter, used as a reference of accuracy. The results demonstrate a high degree of precision of the three proposals to characterize the access impedance of the LV grid.

show abstract

“…Distributive space time coding (DSTC) [7] is a technique that can be applied to achieve diversity in collaboration and avoid bandwidth constraints. Te DSTBC is a distributed system variant of STBC's, as described in reference [8], in which a duplicate of the data is shared across participating transmitting nodes. We assume a system with only one relay and stress these techniques because currently, we are working with DSTBC and cooperative diversity that are two terms that come to mind while thinking about DSTBC.…”

Section: Cooperative Communicationsmentioning

confidence: 99%

Cooperative Communications Based on Deep Learning Using a Recurrent Neural Network in Wireless Communication Networks

Rathika

Poruran

Kumar

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In recent years, cooperative communication (CC) technology has emerged as a hotspot for testing wireless communication networks (WCNs), and it will play an important role in the spectrum utilization of future wireless communication systems. Instead of running node transmissions at full capacity, this design will distribute available paths across multiple relay nodes to increase the overall throughput. The modeling WCNs coordination processes, as a recurrent mechanism and recommending a deep learning-based transfer choice, propose a recurrent neural network (RNN) process-based relay selection in this research article. This network is trained according to the joint receiver and transmitter outage likelihood and shared knowledge, and without the use of a model or prior data, the best relay is picked from a set of relay nodes. In this study, we make use of the RNN to do superdimensional (high-layered) processing and increase the rate of learning and also have a neural network (NN) selection testing to study the communication device, find out whether or not it can be used, find out how much the system is capable of, and look at how much energy the network needs. In these simulations, it has been shown that the RNN scheme is more effective on these targets and allows the design to keep converged over a longer period of time. We will compare the accuracy and efficiency of our RNN processed-based relay selection methods with long short-term memory (LSTM), gated recurrent units (GRU), and bidirectional long short-term memory (BLSTM),which are all acronyms for long short-term memory methods.

show abstract

Resource Allocation for Relay-Based OFDMA Power Line Communication System

Cited by 8 publications

References 42 publications

Field Trials for the Characterization of Non-Intentional Emissions at Low-Voltage Grid in the Frequency Range Assigned to NB-PLC Technologies

Field Trials for the Characterization of Non-Intentional Emissions at Low-Voltage Grid in the Frequency Range Assigned to NB-PLC Technologies

Comparison of Measurement Methods of LV Grid Access Impedance in the Frequency Range Assigned to Nb‑Plc Technologies

Cooperative Communications Based on Deep Learning Using a Recurrent Neural Network in Wireless Communication Networks

Contact Info

Product

Resources

About