SFN-SISO and SFN-MISO Gain Performance Analysis for DVB-T2 Network Planning

Morgade, Javier; Angueira, Pablo; Arrinda, Amaia; Pfeffer, Ralf; Steinmann, Volker; Frank, J.; Brugger, Roland

doi:10.1109/tbc.2013.2293852

Cited by 33 publications

(25 citation statements)

References 25 publications

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“…The validity of the derived formula in (23) is verified by comparing the measured results in [17][15]:…”

Section: Verification and Discussionmentioning

confidence: 99%

“…2, the index sets for M transmitters in MISO-SFN are represented by G 1 = {1, 2, .., T } for group 1 and G 2 = {T + 1, T + 2, .., M} for group 2. The transmitted signal x a n [t] is filtered by the discrete-time channel impulse response h i [t] and contaminated by the additive noise w n [t]; therefore, the received signal y n [t] in MISO-SFN can be defined as [17] …”

Section: Received Signal Model In Matrix Formmentioning

confidence: 99%

“…6 according to the power imbalance [17], comparing the measured results with the analytical results. The channel profile is not controllable and thus measured in various channel conditions; therefore, it can be observed that data from the field measurement are scattered.…”

Section: Effect Of the Weighting Factor νmentioning

confidence: 99%

“…Compared to the conventional SISO-SFN, MISO-SFN provides a higher SFN gain owing to the transmit diversity in overlapping service coverage areas [13]- [17]. The SISO-SFNG can be obtained without any signal processing at the receiver, and therefore, the gain can be predicted simply by adding the power of the received signals from all the trans- mitters.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, to the best of our knowledge, the potential and practical MISO-SFNG has been predicted only through simulations [14], laboratory experiments [15], and field measurements [16] [17]. Although the measurement data reported in these studies satisfactorily confirm the phenomenon, there exists no commonly accepted method or formula for evaluating MISO-SFNG explaining the various system factors influencing the gain under a given condition.…”

Section: Introductionmentioning

confidence: 99%

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Formulating the Net Gain of MISO-SFN in the Presence of Self-Interferences

Jeon¹,

Kim²,

Seo³

et al. 2015

RADIOENGINEERING

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Abstract. In this study, an analytical formula for multipleinput single-output single frequency network gain (MISO-SFNG) is investigated. To formulate the net MISO-SFNG, we derived the average signal to interference plus noise ratio (SINR) where the gain achieved by the distributed MISO diversity as a function of power imbalance is curve-fitted. Further, we analyzed the losses owing to self-interferences resulting from the delay spread and imperfect channel estimation. We verified the accuracy and effectiveness of the derived formula by comparing the measurement results with the analytical results. The derived formula helps to understand how various system factors affect the gain under a given condition. The formula can be used to evaluate the MISO-SFNG and to predict the MISO-SFN coverage in various system configurations.

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“…The validity of the derived formula in (23) is verified by comparing the measured results in [17][15]:…”

Section: Verification and Discussionmentioning

confidence: 99%

Section: Received Signal Model In Matrix Formmentioning

confidence: 99%

Section: Effect Of the Weighting Factor νmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Formulating the Net Gain of MISO-SFN in the Presence of Self-Interferences

Jeon¹,

Kim²,

Seo³

et al. 2015

RADIOENGINEERING

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Digital Terrestrial Broadcast Standards

Montalbán

Iradier

Fanari

et al. 2021

Wiley Encyclopedia of Electrical and Electronics Engineering

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The European Digital Video Broadcasting (DVB) project started in 1993 as an industry forum providing the specifications for digital broadcast. Afterwards, the first Digital Terrestrial Television (DTT) system, DVB‐Terrestrial (DVB‐T), was standardized in 1997, and one year later, the first DVB‐T broadcast began in Sweden and the UK. In September 2009, ETSI published the first version of the second generation standard (DVB‐T2), where the data‐carrying capacity of a single Radio Frequency (RF) broadcast channel was notably increased. Specifically, a minimum capacity increase of 30% was achieved as well as improved SFN performances, a mechanism to reduce the peak‐to‐average‐power ratio (PAPR), sand a flexible frame structure for Physical Layer Pipes (PLPs). This article starts with a system overview of the DVB‐T2 standard, and then, the general architecture of the DVB‐T2 transceiver is comprehensively described module by module. This work also gathers a comprehensive review of the available implementation and evaluation results of the standard.

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