IEICE TRANSACTIONS on Communications
Analysis of the Network Gains of SISO and MISO Single Frequency Network Broadcast Systems
Summary :
The second generation digital terrestrial broadcasting system (DVB-T2) is the first broadcasting system employing MISO (Multiple-Input Single-Output) algorithms. The potential MISO gain of this system has been roughly predicted through simulations and field tests. Of course, the potential MISO SFN gain (MISO-SFNG) differs according to the simulation conditions, test methods, and measurement environments. In this paper, network gains of SISO-SFN and MISO-SFN are theoretically derived. Such network gains are also analyzed with respect to the receive power imbalance and coverage distances of SISO and MISO SFN. From the analysis, it is proven that MISO-SFNG is always larger than SISO SFN gain (SISO-SFNG) in terms of the achievable SNR. Further, both MISO-SFNG and SISO-SFNG depend on the power imbalance, but the network gains are constant regardless of the modulation order. Once the field strength of the complete SFN is obtained by coverage planning tools or field measurements, the SFN service coverage can be precisely calibrated by applying the closed-form SFNG formula.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E97-B No.1 pp.182-189
- Publication Date
- 2014/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E97.B.182
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Sungho JEON
Korean Broadcasting System (KBS),Yonsei University
Jong-Seob BAEK
Yonsei University,Convergence Lab., CTO, LG Electronics
Junghyun KIM
Korean Broadcasting System (KBS)
Jong-Soo SEO
Yonsei University
Keyword
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Sungho JEON, Jong-Seob BAEK, Junghyun KIM, Jong-Soo SEO, "Analysis of the Network Gains of SISO and MISO Single Frequency Network Broadcast Systems" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 1, pp. 182-189, January 2014, doi: 10.1587/transcom.E97.B.182.
Abstract: The second generation digital terrestrial broadcasting system (DVB-T2) is the first broadcasting system employing MISO (Multiple-Input Single-Output) algorithms. The potential MISO gain of this system has been roughly predicted through simulations and field tests. Of course, the potential MISO SFN gain (MISO-SFNG) differs according to the simulation conditions, test methods, and measurement environments. In this paper, network gains of SISO-SFN and MISO-SFN are theoretically derived. Such network gains are also analyzed with respect to the receive power imbalance and coverage distances of SISO and MISO SFN. From the analysis, it is proven that MISO-SFNG is always larger than SISO SFN gain (SISO-SFNG) in terms of the achievable SNR. Further, both MISO-SFNG and SISO-SFNG depend on the power imbalance, but the network gains are constant regardless of the modulation order. Once the field strength of the complete SFN is obtained by coverage planning tools or field measurements, the SFN service coverage can be precisely calibrated by applying the closed-form SFNG formula.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.182/_p
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@ARTICLE{e97-b_1_182,
author={Sungho JEON, Jong-Seob BAEK, Junghyun KIM, Jong-Soo SEO, },
journal={IEICE TRANSACTIONS on Communications},
title={Analysis of the Network Gains of SISO and MISO Single Frequency Network Broadcast Systems},
year={2014},
volume={E97-B},
number={1},
pages={182-189},
abstract={The second generation digital terrestrial broadcasting system (DVB-T2) is the first broadcasting system employing MISO (Multiple-Input Single-Output) algorithms. The potential MISO gain of this system has been roughly predicted through simulations and field tests. Of course, the potential MISO SFN gain (MISO-SFNG) differs according to the simulation conditions, test methods, and measurement environments. In this paper, network gains of SISO-SFN and MISO-SFN are theoretically derived. Such network gains are also analyzed with respect to the receive power imbalance and coverage distances of SISO and MISO SFN. From the analysis, it is proven that MISO-SFNG is always larger than SISO SFN gain (SISO-SFNG) in terms of the achievable SNR. Further, both MISO-SFNG and SISO-SFNG depend on the power imbalance, but the network gains are constant regardless of the modulation order. Once the field strength of the complete SFN is obtained by coverage planning tools or field measurements, the SFN service coverage can be precisely calibrated by applying the closed-form SFNG formula.},
keywords={},
doi={10.1587/transcom.E97.B.182},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Analysis of the Network Gains of SISO and MISO Single Frequency Network Broadcast Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 182
EP - 189
AU - Sungho JEON
AU - Jong-Seob BAEK
AU - Junghyun KIM
AU - Jong-Soo SEO
PY - 2014
DO - 10.1587/transcom.E97.B.182
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2014
AB - The second generation digital terrestrial broadcasting system (DVB-T2) is the first broadcasting system employing MISO (Multiple-Input Single-Output) algorithms. The potential MISO gain of this system has been roughly predicted through simulations and field tests. Of course, the potential MISO SFN gain (MISO-SFNG) differs according to the simulation conditions, test methods, and measurement environments. In this paper, network gains of SISO-SFN and MISO-SFN are theoretically derived. Such network gains are also analyzed with respect to the receive power imbalance and coverage distances of SISO and MISO SFN. From the analysis, it is proven that MISO-SFNG is always larger than SISO SFN gain (SISO-SFNG) in terms of the achievable SNR. Further, both MISO-SFNG and SISO-SFNG depend on the power imbalance, but the network gains are constant regardless of the modulation order. Once the field strength of the complete SFN is obtained by coverage planning tools or field measurements, the SFN service coverage can be precisely calibrated by applying the closed-form SFNG formula.
ER -
English
