A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario
This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set...
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Gespeichert in:
| Autor*in: |
Pittolo, Alberto [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Systematik: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on communications - New York, NY : IEEE, 1972, 65(2017), 6, Seite 2543-2553 |
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| Übergeordnetes Werk: |
volume:65 ; year:2017 ; number:6 ; pages:2543-2553 |
| Links: |
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| DOI / URN: |
10.1109/TCOMM.2017.2677938 |
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| 520 | |a This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. | ||
| 650 | 4 | |a Power line communications | |
| 650 | 4 | |a Load modeling | |
| 650 | 4 | |a PLC | |
| 650 | 4 | |a top-down methodology | |
| 650 | 4 | |a MIMO | |
| 650 | 4 | |a statistical model | |
| 650 | 4 | |a Transmission line measurements | |
| 650 | 4 | |a channel modeling | |
| 650 | 4 | |a Correlation | |
| 650 | 4 | |a Analytical models | |
| 650 | 4 | |a Channel models | |
| 650 | 4 | |a phenomenological approach | |
| 700 | 1 | |a Tonello, Andrea M |4 oth | |
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10.1109/TCOMM.2017.2677938 doi PQ20170721 (DE-627)OLC1994352396 (DE-599)GBVOLC1994352396 (PRQ)i659-782d68e0a6646a78dddfec337cc7fd8590e38c6720b90cf37d4d7e2478575850 (KEY)0043613520170000065000602543syntheticstatisticalmimoplcchannelmodelappliedtoan DE-627 ger DE-627 rakwb eng 620 DNB SA 5540 AVZ rvk Pittolo, Alberto verfasserin aut A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. Power line communications Load modeling PLC top-down methodology MIMO statistical model Transmission line measurements channel modeling Correlation Analytical models Channel models phenomenological approach Tonello, Andrea M oth Enthalten in IEEE transactions on communications New York, NY : IEEE, 1972 65(2017), 6, Seite 2543-2553 (DE-627)129300624 (DE-600)121987-X (DE-576)014493063 0090-6778 nnns volume:65 year:2017 number:6 pages:2543-2553 http://dx.doi.org/10.1109/TCOMM.2017.2677938 Volltext http://ieeexplore.ieee.org/document/7870625 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_40 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2004 SA 5540 AR 65 2017 6 2543-2553 |
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10.1109/TCOMM.2017.2677938 doi PQ20170721 (DE-627)OLC1994352396 (DE-599)GBVOLC1994352396 (PRQ)i659-782d68e0a6646a78dddfec337cc7fd8590e38c6720b90cf37d4d7e2478575850 (KEY)0043613520170000065000602543syntheticstatisticalmimoplcchannelmodelappliedtoan DE-627 ger DE-627 rakwb eng 620 DNB SA 5540 AVZ rvk Pittolo, Alberto verfasserin aut A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. Power line communications Load modeling PLC top-down methodology MIMO statistical model Transmission line measurements channel modeling Correlation Analytical models Channel models phenomenological approach Tonello, Andrea M oth Enthalten in IEEE transactions on communications New York, NY : IEEE, 1972 65(2017), 6, Seite 2543-2553 (DE-627)129300624 (DE-600)121987-X (DE-576)014493063 0090-6778 nnns volume:65 year:2017 number:6 pages:2543-2553 http://dx.doi.org/10.1109/TCOMM.2017.2677938 Volltext http://ieeexplore.ieee.org/document/7870625 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_40 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2004 SA 5540 AR 65 2017 6 2543-2553 |
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10.1109/TCOMM.2017.2677938 doi PQ20170721 (DE-627)OLC1994352396 (DE-599)GBVOLC1994352396 (PRQ)i659-782d68e0a6646a78dddfec337cc7fd8590e38c6720b90cf37d4d7e2478575850 (KEY)0043613520170000065000602543syntheticstatisticalmimoplcchannelmodelappliedtoan DE-627 ger DE-627 rakwb eng 620 DNB SA 5540 AVZ rvk Pittolo, Alberto verfasserin aut A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. Power line communications Load modeling PLC top-down methodology MIMO statistical model Transmission line measurements channel modeling Correlation Analytical models Channel models phenomenological approach Tonello, Andrea M oth Enthalten in IEEE transactions on communications New York, NY : IEEE, 1972 65(2017), 6, Seite 2543-2553 (DE-627)129300624 (DE-600)121987-X (DE-576)014493063 0090-6778 nnns volume:65 year:2017 number:6 pages:2543-2553 http://dx.doi.org/10.1109/TCOMM.2017.2677938 Volltext http://ieeexplore.ieee.org/document/7870625 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_40 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2004 SA 5540 AR 65 2017 6 2543-2553 |
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10.1109/TCOMM.2017.2677938 doi PQ20170721 (DE-627)OLC1994352396 (DE-599)GBVOLC1994352396 (PRQ)i659-782d68e0a6646a78dddfec337cc7fd8590e38c6720b90cf37d4d7e2478575850 (KEY)0043613520170000065000602543syntheticstatisticalmimoplcchannelmodelappliedtoan DE-627 ger DE-627 rakwb eng 620 DNB SA 5540 AVZ rvk Pittolo, Alberto verfasserin aut A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. Power line communications Load modeling PLC top-down methodology MIMO statistical model Transmission line measurements channel modeling Correlation Analytical models Channel models phenomenological approach Tonello, Andrea M oth Enthalten in IEEE transactions on communications New York, NY : IEEE, 1972 65(2017), 6, Seite 2543-2553 (DE-627)129300624 (DE-600)121987-X (DE-576)014493063 0090-6778 nnns volume:65 year:2017 number:6 pages:2543-2553 http://dx.doi.org/10.1109/TCOMM.2017.2677938 Volltext http://ieeexplore.ieee.org/document/7870625 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_40 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2004 SA 5540 AR 65 2017 6 2543-2553 |
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10.1109/TCOMM.2017.2677938 doi PQ20170721 (DE-627)OLC1994352396 (DE-599)GBVOLC1994352396 (PRQ)i659-782d68e0a6646a78dddfec337cc7fd8590e38c6720b90cf37d4d7e2478575850 (KEY)0043613520170000065000602543syntheticstatisticalmimoplcchannelmodelappliedtoan DE-627 ger DE-627 rakwb eng 620 DNB SA 5540 AVZ rvk Pittolo, Alberto verfasserin aut A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. Power line communications Load modeling PLC top-down methodology MIMO statistical model Transmission line measurements channel modeling Correlation Analytical models Channel models phenomenological approach Tonello, Andrea M oth Enthalten in IEEE transactions on communications New York, NY : IEEE, 1972 65(2017), 6, Seite 2543-2553 (DE-627)129300624 (DE-600)121987-X (DE-576)014493063 0090-6778 nnns volume:65 year:2017 number:6 pages:2543-2553 http://dx.doi.org/10.1109/TCOMM.2017.2677938 Volltext http://ieeexplore.ieee.org/document/7870625 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_40 GBV_ILN_65 GBV_ILN_70 GBV_ILN_2004 SA 5540 AR 65 2017 6 2543-2553 |
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A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario |
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A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario |
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Pittolo, Alberto |
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synthetic statistical mimo plc channel model applied to an in-home scenario |
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A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario |
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This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. |
| abstractGer |
This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. |
| abstract_unstemmed |
This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home <inline-formula> <tex-math notation="LaTeX">2\times 3 </tex-math></inline-formula> MIMO PLC channel data set obtained by the European Telecommunications Standards Institute specialist task force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared with the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution. |
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A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario |
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