On the Capacity of MIMO Broadband Power Line Communications Channels

Shlezinger, Nir; Shaked, Roee; Dabora, Ron

doi:10.1109/tcomm.2018.2835472

Cited by 14 publications

(12 citation statements)

References 52 publications

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“…We then use the fact that the optimal input to (12) is temporally independent and Gaussian [12], to identify its convergent subsequence, which leads to the proof of (14).…”

Section: Capacity Characterization For Asynchronous Samplingmentioning

confidence: 99%

“…3.9]. This fact facilitates the analysis of DT channels, obtained from CT received signals via synchronous sampling, by applying classical tools for stationary channels, thereby obtaining a characterization of the fundamental rate limits [12]- [14], as well as deriving signal processing schemes, e.g., for estimation of statistical moments [15,Ch. 17.3], channel identification [16], synchronization [17], spectrum sensing [18], and noise mitigation [19].…”

Section: Introductionmentioning

confidence: 99%

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The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise

Shlezinger

Abakasanga

Dabora

et al. 2020

IEEE Trans. Commun.

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Non-orthogonal communications play an important role in future digital communication architectures. In such scenarios, the received signal is corrupted by an interfering communications signal, which is much stronger than the thermal noise, and is often modeled as a cyclostationary process in continuoustime. To facilitate digital processing, the receiver typically samples the received signal synchronously with the symbol rate of the information signal. If the period of the statistics of the interference is synchronized with that of the information signal, then the sampled interference is modeled as a discretetime (DT) cyclostationary random process. However, in the common interference scenario, the period of the statistics of the interference is not necessarily synchronized with that of the information signal. In such cases, the DT interference may be modeled as an almost cyclostationary random process. In this work we characterize the capacity of DT memoryless additive noise channels in which the noise arises from a sampled cyclostationary Gaussian process. For the case of synchronous sampling, capacity can be obtained in closed form. When sampling is not synchronized with the symbol rate of the interference, the resulting channel is not information stable, thus classic information-theoretic tools are not applicable.Using information spectrum methods, we prove that capacity can be obtained as the limit of a sequence of capacities of channels with additive cyclostationary Gaussian noise. Our results allow to characterize the effects of changes in the sampling rate and sampling time offset on the capacity of the resulting DT channel. In particular, it is demonstrated that minor variations in the sampling period, such that the resulting noise switches from being synchronously-sampled to being asynchronously-sampled, can substantially change the capacity.

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“…We then use the fact that the optimal input to (12) is temporally independent and Gaussian [12], to identify its convergent subsequence, which leads to the proof of (14).…”

Section: Capacity Characterization For Asynchronous Samplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise

Shlezinger

Abakasanga

Dabora

et al. 2020

IEEE Trans. Commun.

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“…• Owing to its ubiquitous presence, PLC has been widely applied in diverse industrial and consumer scenarios, including the smart grid, smart home, smart factories, intelligent transportation and broadband network services. Despite these research advances, information theory indicates that the capacity of PLC has not been fully exploited [24], [241], predominantly due to the deleterious effects of impulsive noise.…”

Section: Discussionmentioning

confidence: 99%

“…1) From SISO PLC to MIMO PLC: Inspired by the family of multiple-antenna aided systems in wireless communications, MIMO PLC relying on the live, neutral and protective earth wires have attracted substantial attention [83] for boosting the capacity of the PLC transmission in the era of Gbps communications [24]. Particular to the noise in MIMO PLC, apart from the temporal and spectral correlations detailed in Section III, spatial correlation is also observed among the noise process in those three wires [217], which imposes a new challenge on the noise modeling.…”

Section: A Future Research Direction Of Noise Modelingmentioning

confidence: 99%

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Fifty Years of Noise Modeling and Mitigation in Power-Line Communications

Bai

Zhang

Wang

et al. 2021

IEEE Commun. Surv. Tutorials

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Building on the ubiquity of electric power infrastructure, power line communications (PLC) has been successfully used in diverse application scenarios, including the smart grid and in-home broadband communications systems as well as industrial and home automation. However, the power line channel exhibits deleterious properties, one of which is its hostile noise environment. This article aims for providing a review of noise modeling and mitigation techniques in PLC. Specifically, a comprehensive review of representative noise models developed over the past fifty years is presented, including both the empirical models based on measurement campaigns and simplified mathematical models. Following this, we provide an extensive survey of the suite of noise mitigation schemes, categorizing them into mitigation at the transmitter as well as parametric and nonparametric techniques employed at the receiver. Furthermore, since the accuracy of channel estimation in PLC is affected by noise, we review the literature of joint noise mitigation and channel estimation solutions. Finally, a number of directions are outlined for future research on both noise modeling and mitigation in PLC. Index Terms-Power-line communications, background noise, impulsive noise, narrow-band interference, noise modeling and mitigation techniques. I. INTRODUCTION A. Power-Line Communications Power-line communications (PLC) has been considered as a means of data transmission since the late 19th century [1, Ch. 1]. Early applications include narrow-band voice and data communications over both medium-and high-voltage power lines for telemetry, telecontrol and teleprotection purposes, as the predecessors of to contemporary smart grid communications [2]-[6]. However, communications over power-lines have not received wider attention until the late 1990s [7], when both the telecommunications services and the electricity industry T. Bai, M. Elkashlan and A. Nallanathan are with the School of Electronic Engineering and Computer Science,

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Cyclic Signals and Systems in Power Line Communications

et al. 2019

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This paper provides a comprehensive discussion about the characteristics of power line communication (PLC) channels related to its synchronization with the mains period. This fact constitutes an interesting and distinguishing feature of these kind of channels. Under the mains voltage presence, the behavior of some loads connected to the power network allows representing the transmission medium as a linear periodically time varying (LPTV) system. Some components in the received noise exhibit periodicity as well, in terms of impulsive waveforms synchronized with the mains period and other cyclostationary (CS) signals. This fact has been taken into account in the design of PLC systems, for instance by defining medium access control (MAC) frames synchronized with the mains period and by adapting the modulation to the cyclic signal-to-noise ratio (SNR) to improve the system performance. Hence, in PLC, it is of particular interest to describe the general relations of LPTV systems and CS signals when both have a common period, which is the purpose of this work. It is not aimed at providing new mathematical tools for the analysis of these cyclic signals and systems, which have been extensively developed over the last five decades, but to serve the readers of the PLC community more accessible mathematical relations that can be applied to the practical problems they have to face. A review of recent works dealing with the cyclic properties of PLC channels and transmission techniques aware of these strategies is included as well.INDEX TERMS Cyclostationary random signals, time-varying systems, LPTV, power line communications.

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On the Capacity of MIMO Broadband Power Line Communications Channels

Cited by 14 publications

References 52 publications

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise

Fifty Years of Noise Modeling and Mitigation in Power-Line Communications

Cyclic Signals and Systems in Power Line Communications

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