Optimal Resource Allocation Based on Resource Factor for Power-Line Communication Systems

Xu, Zhiqiang; Zhai, Mingyue; Zhao, Yuming

doi:10.1109/tpwrd.2009.2035364

Cited by 25 publications

(19 citation statements)

References 23 publications

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“…Finally, with the information gathered until this point, we used a rate-adaptive greedy algorithm based on [7], as described in [6], to solve the resource allocation problem described in (5) with SER constraint β c < 10 −3 using both approaches described in (23) Tables III and IV list the attained results from simulations with the HS-OFDM scheme and total transmission power P t = 10 dBm. It is worth stating that the SER constraint as expressed by (9) was not satisfied in some cases due to limited computational resources for simulations.…”

Section: The Proposed Proceduresmentioning

confidence: 99%

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

Colen

Oliveira

Vinck

et al. 2016

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

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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.

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Section: The Proposed Proceduresmentioning

confidence: 99%

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

Colen

Oliveira

Vinck

et al. 2016

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

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“…In China, a significant amount of pollution gas emissions was produce by the conventional power systems [1][2][3][4][5][6][7]. Ti reduce such emissions, smart grids are proposed.…”

Section: Introductionmentioning

confidence: 99%

The PLC Signals' Noise Mitigating Algorithm with PCA

Zhai¹

2017

Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

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Abstract. Noises in the PLCPLC) systems are too severe. In the paper, we proposed a new method to mitigate such noises based on the principal components analyses(PCA). There are 4 steps in this algorithm. Signals generalization is the the first step. the one dimension PLC signal is extended to a multiple dimensions signals. In the second step, the new signals are decorrelated by adding the white noises. For such the uncorrelated data set in the transformed domain, we use the PCA technology to mitigate noises. The useful PLC signals can be recovered with applying the inverse transform matrix as the forth step. We verify this algorithm by the simulations.

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“…Thus, it presents a harsh and noisy communications channel, which is not favorable for the high-frequency communications signal transmission with frequency ranging from 0 to 30 MHz [6][7][8]. Thus, it presents a harsh and noisy communications channel, which is not favorable for the high-frequency communications signal transmission with frequency ranging from 0 to 30 MHz [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Mitigation of the moving radio interferences in the OFDM‐based power line communication channels in China

Zhai

2014

Int J Communication

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Under some special environments in China, there exist moving radio radiations with high transmission powers that can degrade the performance of the power line communications systems significantly. Such radiations overlap with the OFDM-based signals in time and frequency domains, and hence, it is very difficult to mitigate directly if not possible. The paper introduced the fractional Fourier transform trying to deal with such moving radio interferences. When using the fractional Fourier transform to separate signals and noises/interferences, the fractional order plays a key role, but there is no method to obtain its optimal value in the published papers. In the paper, like for the time-frequency representations, we defined the second moments of the fractional Fourier transform of the signal. The fractional order, corresponding the maximum of the second moments, is the one used to separate the OFDM signals and the moving radio interferences, which is modelled as the Doppler signals in our scheme. The proposed method can mitigate the moving radio interferences significantly by applying the proposed method to the simulated OFDM signals and the measurements data. The results also show that the system's BERs can be improved from 10 2 to 10 5 for lower signal-noise-rate (SNR), and from 10 4 to 10 9 for high SNRs.

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Optimal Resource Allocation Based on Resource Factor for Power-Line Communication Systems

Cited by 25 publications

References 23 publications

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

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

The PLC Signals' Noise Mitigating Algorithm with PCA

Mitigation of the moving radio interferences in the OFDM‐based power line communication channels in China

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