Optimal LPTV-Aware Bit Loading in Broadband PLC

Tunc, Muharrem A.; Perrins, Erik; Lampe, Lutz

doi:10.1109/tcomm.2013.110413.130168

Cited by 30 publications

(51 citation statements)

References 18 publications

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“…7.8]). In addition, we present the estimation performance obtained by adapting the algorithm for joint CFO and CIR estimation proposed in [6] to periodic channels, using a time partitioning approach similarly to [19], referred to as the piecewise LTI estimator (PWLE).…”

Section: Numerical Examples and Discussionmentioning

confidence: 99%

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

Shaked

Shlezinger

Dabora

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interferencelimited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.

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Section: Numerical Examples and Discussionmentioning

confidence: 99%

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

Shaked

Shlezinger

Dabora

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…According to the literature [3]- [8], resource allocation problems can use the signal to noise ratio (SNR) gap approximation, which takes the gap from the Shannon capacity curve into consideration for inserting a symbol error rate (SER) constraint. Nevertheless, the majority of the works on resource allocation has considered that the PLC noise is stationary [4], [8].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, the majority of the works on resource allocation has considered that the PLC noise is stationary [4], [8]. However, for a more correct approach, we have to take into consideration that the summary of disturbances that impair a PLC channel is non-stationary [9], [10], since it results from the combination of a background noise, synchronous impulses and asynchronous impulses.…”

Section: Introductionmentioning

confidence: 99%

“…However, it did not analyze the influence of the gap from the Shannon capacity curve on the resource allocation technique for such situation. Moreover, by analyzing works on resource allocation [4]- [8] and references therein, we found out that the choice of the gap value that satisfies a SER constraint in resource allocation problems in the presence of AIGN is still open.…”

Section: Introductionmentioning

confidence: 99%

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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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“…The main idea behind this technique is the exploitation of existing correlations among the normalised SNR, over microslots, in LPTV PLC channels, which allows a trade‐off between computational complexity reduction and data‐rate loss. The proposed technique, following that in and different from that in , allocates the same amount of energy among the microslots, which overcome, from the authors' point of view, some difficulties hindering the use in a real‐time OFDM‐based system, namely (i) the need for much more hardware resource and energy for bit‐loading allocation (cost must be as low as possible); (ii) the potential violation of the electric field radiation limits imposed by regulatory authorities (there is a limit for power allocation); and (iii) the limitations imposed by the coherence time of PLC channels and network bandwidth for data control exchanges (channel state information must be exchanged each microslots). The main contributions of this work are, in summary: The introduction of a novel bit‐loading technique that addresses existing correlations within one cycle of mains signal, over consecutive cycles of the mains signal and both of them altogether to trade computational complexity reduction with data‐rate loss. Performance analyses based on measured data when those connections are exploited and a comparison with IEEE P 1901standard and techniques proposed in . …”

Section: Introductionmentioning

confidence: 99%

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

Colen

Schettino

Fernandes

et al. 2015

Trans. Emerging Tel. Tech.

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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.

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Optimal LPTV-Aware Bit Loading in Broadband PLC

Cited by 30 publications

References 18 publications

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

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

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

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