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Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels
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Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels
Zlatka Avramova18 , Danny De Vleeschauwer19 , Kathleen Spaey20 , Sabine Wittevrongel18 , Herwig Bruneel18 and Chris Blondia20 
| (18) |
SMACS Research Group, TELIN Department, Ghent University, Sint–Pietersnieuwstraat 41, B–9000 Ghent, Belgium |
| (19) |
Bell Labs, Alcatel-Lucent Bell, Copernicuslaan 50, B–2018 Antwerp, Belgium |
| (20) |
PATS Research Group, IBBT–University of Antwerp, Middelheimlaan 1, B–2020 Antwerp, Belgium |
Abstract
Mobile TV is growing beyond the stage of experimentation and evaluation and is (about) to become part of our daily lives.
Additionally, it is being delivered through heterogeneous networks and to a variety of receiving devices, which implies different
versions of one and the same video content must be transported. We propose two (approximate) analytic methods for capacity
demand estimation in a (mobile) TV broadcast system. In particular, the methods estimate the required transport capacity for
a bouquet of channels offered on request and in different versions (video formats or in different quality) over a multicast-enabled
network, encoded in non-constant bit rate targeting constant quality. We compare a transport strategy where the different
versions (of one channel) are simulcast to a scalable video encoding (SVC) transport strategy, where all resolutions (of one
channel) are embedded in one flow. In addition, we validate the proposed analytic methods with simulations. A realistic mobile
TV example is considered with two transported resolutions of the channels: QVGA and VGA. We demonstrate that not always capacity
gain is achieved with SVC as compared to simulcast since the former comes with some penalty rate and the gain depends on the
system parameters.
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