Clustered‐orthogonal frequency division multiplexing for power line communication: when is it beneficial?

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

Oliveira

Vinck

et al. 2016

This work outlines a procedure for choosing the gap from the Shannon capacity curve in order to solve resource allocation problems in orthogonal frequency-division multiplexingbased power line communication systems impaired by impulsive Gaussian noise. In this regard, we perform statistical analyses of additive impulsive Gaussian noise models in order to measure the effect of the noise information on the proposed technique. Next, we solved resource allocation problems under symbol error rate constraint to verify the correctness of the proposed technique.Index Terms-Resource allocation, bit loading algorithm, impulsive noise, orthogonal frequency-division multiplexing, power line communication.

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

“…In this work, the PLC additive noise v[n] is modeled as an AIGN, which is expressed by [2], [9], [11] v…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Resource allocation in OFDM-based PLC systems impaired by additive impulsive Gaussian noise

2016 International Symposium on Power Line Communications and Its Applications (ISPLC)

Oliveira

Vinck

et al. 2016

A temporal compressive resource allocation technique for complexity reduction in PLC transceivers

Trans. Emerging Tel. Tech.

Schettino

Fernandes

et al. 2015

Self Cite

This work introduces a novel resource allocation technique for dealing with linear and periodically time‐varying power line channels when an orthogonal frequency division multiplexing scheme is applied. By exploiting the correlations within one cycle of the mains signal, among cycles of mains signal and a combination of these connections, the proposed technique can offer three distinct trade‐offs between computational complexity reduction and data‐rate loss. Numerical results, which are based on measured data, are used to analyse these trade‐offs, when these inter‐cycle and intra‐cycle relationship are taken into account. Also, we verify that the use of the normalised signal‐to‐noise ratio incurs very low performance degradation, and because of computational complexity rationale, its use is strongly recommended. Additionally, we show that those cases, in which the correlations among the cycles of the mains signal is relevant, offer the best trade‐off between computational complexity reduction and data‐rate loss. Finally, we show that the proposed technique can achieve the optimal data‐rate and offers substantial improvements in terms of computational complexity when compared with existing approaches, including the Institute of Electrical and Electronics Engineers 1901 standard. Copyright © 2015 John Wiley & Sons, Ltd.

Statistical analysis and modeling of a novel parameter for resource allocation in multicarrier PLC systems

Trans Emerging Tel Tech

Oliveira

Zeller

et al. 2017

Self Cite

This work outlines a novel parameter that is capable of characterizing the flatness of the normalized signal-to-noise ratio for resource allocation purposes in power line communication (PLC) systems, which are based on multicarrier modulation schemes. This parameter, named normalized signal-to-noise ratio coherence bandwidth, can be used for grouping adjacent subchannels therefore reducing the computational complexity of resource allocation techniques. Additionally, we discuss a comparative analysis between the proposed parameter and the coherence bandwidth for resource allocation purposes, which leads us to conclude that the former is more appropriate than the latter for PLC systems. Moreover, we show a statistical analysis of the proposed parameter and model it with different distributions based on noise measurements and channel estimates of broadband in-home, outdoor, and hybrid PLC-wireless environments. On the basis of data sets obtained from measurement campaigns covering the frequency bands of 1.7 to 30, 1.7 to 50, and 1.7 to 100 MHz, we show that the best distributions for modeling the proposed parameter are inverse Gaussian, Nakagami, gamma, and Gaussian mixture, depending on the type of the channel (in home, outdoor, and hybrid PLC wireless) and the frequency band.