Precoded Spatial Multiplexing MIMO for Inhome Power Line Communications

Schneider, Daniel; Speidel, Joachim; Stadelmeier, Lothar; Schill, D.W.

doi:10.1109/glocom.2008.ecp.556

Cited by 55 publications

(50 citation statements)

References 6 publications

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“…As it is usually done [9], [27], [28], [29], [18], [30], the selection of representative coupling schemes is a typical procedure for the sake of reducing manuscript size and simplicity.…”

Section: Ov MV Bpl Topology Database With Mdlfi and Mlflmmentioning

confidence: 99%

Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)

Lazaropoulos

2017

Tr Ren Energy

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Since the main distribution line faults can be securely identified as outlined in the first and second paper, this third paper presents the methodology of localizing the main distribution line fault when broadband over power lines (BPL) networks have already been deployed across the distribution power grids. The main issue of this paper is the detailed presentation of the main line localization methodology (MLFLM) as well as well as its performance assessment when measurement differences occur. The contribution of this paper, which is focused on the application of MLFLM, is double. First, the procedure, which is followed in order to create the database of faults and is used by MLFLM, is here analytically presented. This database is based on the application of the main distribution line fault identification percentage metric (MDLFI) to coupling reflection coefficients of all possible fault OV MV BPL topologies (modified OV MV BPL topologies). Second, the performance assessment of MLFLM is investigated with respect to the nature of the measurement differences and the location of main distribution line faults across the distribution power grid. Keywords: Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids IntroductionA major advantage of the BPL networks is the fact that their development is simple and economically advantageous since their deployment is based on the already operating power grid infrastructure. As concerns the potential of the smart grid operation, BPL technology can act as either an autonomous communications system or a cooperative communications network that interoperates with other wired and wireless communications solutions in an integrated intelligent IP-based network environment. Anyway, the synergy of telecommunications solution under the aegis of the smart grid can support a myriad of smart grid applications [1]- [4].In the first paper [5], the determination of the channel attenuation and reflection coefficient of overhead medium-voltage (OV MV) BPL networks have been achieved by extending the original TM2 method, which is the core part of the top-down approach of the well-established hybrid method [3], [6]-[22] during the normal operation of OV MV

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“…As it is usually done [9], [27], [28], [29], [18], [30], the selection of representative coupling schemes is a typical procedure for the sake of reducing manuscript size and simplicity.…”

Section: Ov MV Bpl Topology Database With Mdlfi and Mlflmmentioning

confidence: 99%

Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)

Lazaropoulos

2017

Tr Ren Energy

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“…Thus, the deployment of MIMO transmission schemes across OV HV BPL networks is an one-way procedure [12], [13], [16]- [21]. Nevertheless, noise critically degrades BPL systems performance.…”

Section: How Mimo Transmission Schemes Blow Up the Capacity Balloon Wmentioning

confidence: 99%

“…Fig. 2, the overall capacity C of OV HV MIMO BPL networks is determined from [4], [6], [12], [13], [16]- [21], [23] (5) is based on the use of equal power uncorrelated sources as the common case is assumed; say, the transmitting end does not have channel state information.…”

Section: Capacitymentioning

confidence: 99%

“…Based on the multiple application of WtG coupling schemes at transmitting and receiving ends of OV HV BPL topologies, which is analytically described in [1], [12], [13], the number of active transmit ports T n and receive ports R n may vary from one to parallel and independent SISO BPL channels may be defined, namely [12], [13], [16], [17], [20], [21], [50], [51]:…”

Section: Mimo Bpl Network and Svd Modal Analysismentioning

confidence: 99%

“…Towards that direction, the integration of today's OV HV BPL networks -i.e., single-input single-output (SISO) ones-with multiple-input multiple-output (MIMO) technology features, which are firstly presented in [12], [13], [16]- [21], is decisive for the further deployment of OV HV BPL networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Capacity Performance of Overhead Transmission Multiple-Input Multiple-Output Broadband over Power Lines Networks: The Insidious Effect of Noise and the Role of Noise Models

Lazaropoulos

2016

Tr Ren Energy

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Extending the analysis already presented in [1], this paper considers broadband potential of overhead (OV) transmission multiple-input multiple-output (MIMO) broadband over power lines (BPL) networks when different noise conditions occur and different well-proven noise models are adopted. The contribution of this paper is two-fold. First, the broadband potential of a great number of indicative OV high-voltage (HV) BPL topologies and of MIMO transmission schemes is studied in terms of appropriate capacity metrics. The relevant numerical results reveal the significant dependence of ΜΙΜΟ capacity metrics on noise conditions. Second, various well-known BPL noise models from the literature are compared on the basis of their achieved OV HV MIMO BPL capacity. Through the careful study of the capacity results of noise models, it is demonstrated that spectrally flat additive white Gaussian noise (AWGN) may be comfortably assumed as an efficient noise model in transmission MIMO BPL networks. Also in MIMO BPL networks, the comparative capacity analysis of noise models shows small differences among them in the 3-88MHz frequency range.

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Power‐Line Communications and Smart Grids

Sung

Bojańczyk

2010

Convergence of Mobile and Stationary Next‐Generation Networks

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Precoded Spatial Multiplexing MIMO for Inhome Power Line Communications

Cited by 55 publications

References 6 publications

Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)

Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)

Capacity Performance of Overhead Transmission Multiple-Input Multiple-Output Broadband over Power Lines Networks: The Insidious Effect of Noise and the Role of Noise Models

Power‐Line Communications and Smart Grids

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