Cross-layer packet scheduler for QoS support over Digital Video Broadcasting-Second Generation broadband satellite systems

2012 ◽  
Vol 27 (10) ◽  
pp. 2063-2082 ◽  
Author(s):  
Elizabeth Rendon-Morales ◽  
Jorge Mata-Díaz ◽  
Juanjo Alins ◽  
Jose L. Muñoz ◽  
Oscar Esparza
2014 ◽  
Vol 60 (2) ◽  
pp. 258-271 ◽  
Author(s):  
Inaki Eizmendi ◽  
Manuel Velez ◽  
David Gomez-Barquero ◽  
Javier Morgade ◽  
Vicente Baena-Lecuyer ◽  
...  

Author(s):  
Budi Setiyanto ◽  
Risanuri Hidayat ◽  
I Wayan Mustika ◽  
Sunarno Sunarno

DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) reception requires a sufficient quality of the received signal. <em>CNR</em> (carrier-to-noise ratio) and <em>BER</em> (bit-error-rate) are two of quantities describing the quality. This paper presents the range of each quantity providing a successful reception based on real data obtained by field-measurements. This data was collected from MO (mobile-outdoor) and SI (stationary-indoor) receiving-systems capturing signal sent by some on-air trial transmitters broadcasting services focused on the fixed-receivers. The result indicated that the successful and failed receptions were split into two quite separated (concentrated) ranges of post-decoded <em>BER</em> and therefore a boundary distinguishing them could be prominently defined. In contrast, they were spread in a wide common range of <em>CNR</em> and pre-decoded <em>BER</em>. Furthermore, the boundary that corresponded to this last quantity was ambiguous. In the case of MO reception as numerical examples, the two split ranges of post-decoded <em>BER</em> were less than about 10<sup>-5</sup> and more than about 2.7 × 10<sup>-4</sup> for the successful and failed receptions, respectively, whereas <em>CNR</em> as high as about 14 dB could be viewed as a soft boundary distinguishing these both reception-success conditions.


2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
R. Alegre-Godoy ◽  
M. A. Vazquez-Castro

We propose a multicast scheme for multibeam satellite systems exploiting both the multiuser and spatial diversity inherent in this type of systems while taking into account realistic physical distributions of User Terminals (UTs) over the coverage. Our proposed scheme makes use of the well-known Adaptive Coding and Modulation (ACM) feature in Digital Video Broadcasting over Satellite, 2nd Generation (DVB-S2) and Extension (DVB-S2X) standards but also incorporates a set of innovative features. First, multilink reception, that is, receivers that can syntonize different frequencies and/or polarizations, together with Network Coding (NC) is used to enable decoding of signals from adjacent beams (spatial diversity). Second, efficient and fair allocation of resources is achieved through Proportionally Fair Multicast (PFM) scheduling. Our results, obtained over realistic nonuniform UTs distributions, show average system multicast throughput gains up to 88% with regard to state-of-the-art multicast schemes. Furthermore, a complete cross-layer architecture is proposed, fully compliant with the standard providing Quality of Service (QoS) guarantees.


2021 ◽  
Vol 5 (6) ◽  
pp. 1018-1024
Author(s):  
Rio Setiawan ◽  
Emy Haryatmi

The development of digital video broadcasting is still continue recently and was done by many parties. One of the project regarding this research was DVB project. There was three areas in digital video broadcasting. One of them was Digital Video Broadcasting Satellite Second Generation (DVB-S2). The development of this project is not focus only in video broadcasting but also focus in applications and mutlimedia services. The objective of this research was to implement raised cosine filter in DVB-S2 using matlab simulink in order to optimize SNR and BER value. Parameters used in this project was QPSK mode and LDPC with 50 iteration. Those parameters was chosen to maintain originality of data that sent in noisy channel. The result showed that by implementing raised cosine filter could optimized BER value of the system. The higher SNR value would give the lower BER value. In static video, the best SNR value when using a filter is 0.9 dB with a BER value of 0.000004810 while for dynamic video the SNR is 0.9 with a BER value of 0.00001030.  


2014 ◽  
Vol 543-547 ◽  
pp. 2632-2635
Author(s):  
Hao Wu ◽  
Hui Xie ◽  
Zhi Tao Huang ◽  
Yi Yu Zhou

The first challenging step of the demodulation of the Digital Video Broadcasting Second generation signal is frame synchronization. Physical Layer header is composed of Start of Frame and Physical Layer Signalling code. When the Start of Frame and the structure of Physical Layer Signalling code are known, Choi and Lee, Kim et al denote some Choi Lee Detectors and Post Detection Integration techniques, using the combination of differential detection of header code. In this paper, we present a scheme to achieve frame synchronization on the condition that the Physical Layer header code is uncertain.


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