DVB-SH Analysis Using a Multi-State Land Mobile Satellite Channel Model

Burzigotti, P.; Prieto-Cerdeira, R.; Bolea-Alamanac, A.; Pérez-Fontán, F.; Sanchez-Lago, I.

doi:10.1109/asms.2008.33

Cited by 16 publications

(12 citation statements)

References 4 publications

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“…In (14), ν is the direct signal's amplitude and 2σ 2 describes the amount of diffuse multipath. We use the range of distribution parameters specified in [10] for a 60º elevation antenna, with a two states assumption (GOOD and BAD), not necesserally meaning LOS and NLOS. MP = 10log(2σ 2 ) is the mean square value of the multipath component expressed in dB and A = 20log(ν) is the direct signal's amplitude in dB.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Multicast Transmission Optimization over Hybrid DVB-SH Systems

Fernández

Vázquez-Castro

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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Research interest related to hybrid networks for mobile users has rapidly evolved in order to extend service to all users. In particular, DVB-SH provides an efficient way of carrying multimedia services over hybrid satellite and terrestrial networks for a big diversity of terminals. Also a variety of possible hybrid system architectures can be chosen due to the two different physical layers specified: ODFM and TDM. Although DVB-SH has been designed for broadcast transmission, we propose to use it for multicast applications, which is more competitive over satellite systems.New system techniques implemented in the hybrid scheme, such as ACM and resource allocation, make the system strongly dependent on the channel conditions. Thus the capacity optimization in a multicast scenario becomes a powerful research challenge, mainly in mobile scenarios. In this paper, we aim at optimizing the multicast transmission over the satellite link and the terrestrial link of a DVB-SH based system. The architecture proposed includes resource allocation techniques depending on the scenarios considered (mobility and transmission mode). We first investigate a Hierarchical Allocation algorithm based on SC (HA-SC) for the OFDM air interface of DVB-SH, which is constrained to serve a minimum rate to all users. We later propose a Time Scheduling (TS) algorithm, more appropriate for TDM satellite-based systems, which finds the optimal number of users to be served in order to achieve the highest throughput in the multicast group. We show that with the TS algorithm, the spectral gain is 20-40% with respect to the worst case user. Moreover, the HA-SC is more suitable for the satellite since it outperforms TS in 300%.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Note that (10) only depends on L, which should be selected in order to optimize the throughput capacity. Applying integration by parts, and considering the Rayleigh distribution properties, it is obtained the left-hand side equality of (11).…”

Section: B Algorithm 2: Time Scheduling (Ts)mentioning

confidence: 99%

Multicast Transmission Optimization over Hybrid DVB-SH Systems

Fernández

Vázquez-Castro

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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“…In an effort to definitely consolidate multistate models, the authors in [86], [87] return to a two-state, where the states do not necessarily correspond to the LOS and NLOS conditions, but are more generic and take on a wider range of possible parameters, which are regenerated for every new state. This reduction in the number of states is quite convenient when modeling MIMO MS in more than one satellite paths.…”

Section: Rate Of Signal Variations: As Illustrated Inmentioning

confidence: 99%

“…Interestingly, the authors in [137] make use of the consolidated channel model presented in [86], [87] for SISO DVB-SH systems to derive a consolidated channel model for MIMO DVB-SH like systems. Its main application concerns narrowband MIMO MS channels employing dual polarization; hence, the dimension of the channel matrix H is 2 × 2.…”

Section: Mimo Land Mobile Satellite Measurements and Channelsmentioning

confidence: 99%

“…Its main application concerns narrowband MIMO MS channels employing dual polarization; hence, the dimension of the channel matrix H is 2 × 2. Similarly to [86], [87], the signal amplitude is assumed to follow the Loo distribution. According to (5), the channel matrix H can be expressed as the sum of a channel matrix H accounting for shadowing and of a channel matrixH accounting for small scale fading, where the magnitudes |h ij | are lognormally distributed with parameters (α, ψ) and the magnitudes |h ij | are Rayleigh distributed with M P expressing the multipath power.…”

Section: Mimo Land Mobile Satellite Measurements and Channelsmentioning

confidence: 99%

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MIMO over Satellite: A Review

Arapoglou

Liolis

Bertinelli

et al. 2011

IEEE Commun. Surv. Tutorials

296

158

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The present article carries out a review of MIMObased techniques that have been recently proposed for satellite communications. Due to the plethora of MIMO interpretations in terrestrial systems and the particularities of satellite communications, this review is built on two pillars, namely fixed satellite and mobile satellite. Special attention is given to the characteristics of the satellite channel, which will ultimately determine the viability of MIMO over satellite. Finally, some future research directions are identified.

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Mobile Satellite Communications

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DVB-SH Analysis Using a Multi-State Land Mobile Satellite Channel Model

Cited by 16 publications

References 4 publications

Multicast Transmission Optimization over Hybrid DVB-SH Systems

Multicast Transmission Optimization over Hybrid DVB-SH Systems

MIMO over Satellite: A Review

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