Error Floor Analysis of Signal Space Diversity Schemes Under Erasure Effect in Single Frequency Network

The final coverage and associated performance of a single frequency networks (SFNs) is a joint result of the properties of all transmitters in the SFN. Due to the large number of parameters involved in the process, finding the right configuration is quite complex. The purpose of this paper is to find optimal SFN network configurations for second generation digital terrestrial broadcast system (DVB-T2). Offering more options of system parameters than its predecessor DVB-T, DVB-T2 allows large SFN networks. However, self-interference in SFNs gives rise to restrictions on the maximum intertransmitter distance and the network size. In order to make optimum use of the spectrum, the same frequency can be reused over different geographical areas-beyond the reuse distance to avoid co-channel interference. In this paper, a methodology based on theoretical network models is proposed. A number of network architectures and network reference models are considered here for different reception modes in order to study the effects of key planning factors on the maximum SFN size and minimum reuse distance. The results show that maximum bitrate, network size, and reuse distance are closely related. In addition, it has been found that the guard interval is not the only limiting parameter and that its impact strongly depends on the rest of DVB-T2 mode parameters as well as on the network characteristics (equivalent radiated power, effective height, and intertransmitter distance). Assuming that the carrier to noise ratio requirements are in the vicinity of 20 dB and bitrates over 30 Mb/s, it has been found that the network can be as large as 360 × 360 km (delivering 39.2 Mb/s) or even 720 × 720 km (delivering 37.5 Mb/s). The reuse distance will also have a complex dependency on the DVB-T2 mode and especially the network parameters, ranging from below 100 to 300 km.Index Terms-Maximum size, reuse distance, second generation digital terrestrial broadcast system (DVB-T2), single frequency network (SFN), low-power-low-tower (LPLT), high-power-high-tower (HPHT).

Section: Introductionmentioning

confidence: 99%

Planning Large Single Frequency Networks for DVB-T2

Sato

Zhang

et al. 2015

“…The analytical results of the derived formula in (8) are verified by a comparison with the measured results in [6], where an identical SISO configuration in two-TX SFN is considered: (α 2 0 , α 2 1 ) = (1, α 2 ). In Fig.…”

Section: Verification Of the Derived Formulamentioning

confidence: 67%

“…In this study, the net gain of an SFN considering both the SFN gain and loss is analytically formulated. In order to account for the SFN loss, the erasure effect is introduced, which is a unique phenomenon in an SFN [7], [8]. The SFN gain is calculated by the aggregate power sum as done in the other studies.…”

Section: Introductionmentioning

confidence: 99%

Formulating the Net Gain of SISO-SFN in the Presence of Erasure Effect

Jeon¹,

Kim²,

Han

et al. 2015

In this paper, an analytical formula for the net gain of singleinput single-output single frequency network (SISO-SFN) is derived. In order to formulate the net SISO-SFN gain (SISO-SFNG), we derive the average signal to noise ratio, where the SFN gain is calculated by the aggregate power sum as a function of the power imbalance, whereas the SFN loss is calculated by a two-term exponential model from a curve fitting as a function of the erasure probability, modulation order, and code rate. The accuracy and effectiveness of the derived formula are verified by comparing the measurement results with the analytical results. The derived formula helps to rationalize why the net gain is positive or negative under a given condition, e.g., a negative net gain is obtained if the power imbalance exceeds the erasure-free limit. The formula would be very useful to predict more realistic and accurate service coverage of SISO-SFN for various system configurations.Index Terms-Single frequency network (SFN), erasure effect, power imbalance, calibrated coverage prediction.

“…The SFN is a better approach in terms of frequency and power efficiency than MFN [10], [11]. On the one hand, the fact that all transmitters use the same frequency band leads to an efficient use of the available bandwidth and eases the radioplanning process.…”

Section: Introductionmentioning

confidence: 99%

Coverage Optimization and Power Reduction in SFN Using Simulated Annealing

Lanza

Gutierrez

Pérez

et al. 2014

An approach that predicts the propagation, models the terrestrial receivers and optimizes the performance of single frequency networks (SFN) for digital video broadcasting in terms of the final coverage achieved over any geographical region, enhancing the most populated areas, is proposed in this paper. The effective coverage improvement and thus, the self-interference reduction in the SFN is accomplished by optimizing the internal static delays, sector antenna gain, and both azimuth and elevation orientation for every transmitter within the network using the heuristic simulated annealing (SA) algorithm. Decimation and elevation filtering techniques have been considered and applied to reduce the computational cost of the SA-based approach, including results that demonstrate the improvements achieved. Further representative results for two SFN in different scenarios considering the effect on the final coverage of optimizing any of the transmitter parameters previously outlined or a combination of some of them are reported and discussed in order to show both, the performance of the method and how increasing gradually the complexity of the model for the transmitters leads to more realistic and accurate results.