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Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels

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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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Chicago
Avramova, Zlatka, Danny De Vleeschauwer, K Spaey, Sabine Wittevrongel, Herwig Bruneel, and C Blondia. 2009. “Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels.” In Traffic Management and Traffic Engineering for the Future Internet, ed. R Valadas and P Salvador, 5464:1–15. BERLIN: SPRINGER-VERLAG BERLIN.
APA
Avramova, Z., De Vleeschauwer, D., Spaey, K., Wittevrongel, S., Bruneel, H., & Blondia, C. (2009). Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels. In R. Valadas & P. Salvador (Eds.), TRAFFIC MANAGEMENT AND TRAFFIC ENGINEERING FOR THE FUTURE INTERNET (Vol. 5464, pp. 1–15). Presented at the 1st International Workshop on Traffic Management and Traffic Engineering for the Future Internet (FITraMEN 08), BERLIN: SPRINGER-VERLAG BERLIN.
Vancouver
1.
Avramova Z, De Vleeschauwer D, Spaey K, Wittevrongel S, Bruneel H, Blondia C. Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels. In: Valadas R, Salvador P, editors. TRAFFIC MANAGEMENT AND TRAFFIC ENGINEERING FOR THE FUTURE INTERNET. BERLIN: SPRINGER-VERLAG BERLIN; 2009. p. 1–15.
MLA
Avramova, Zlatka, Danny De Vleeschauwer, K Spaey, et al. “Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels.” Traffic Management and Traffic Engineering for the Future Internet. Ed. R Valadas & P Salvador. Vol. 5464. BERLIN: SPRINGER-VERLAG BERLIN, 2009. 1–15. Print.
@inproceedings{1008178,
  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.},
  author       = {Avramova, Zlatka and De Vleeschauwer, Danny and Spaey, K and Wittevrongel, Sabine and Bruneel, Herwig and Blondia, C},
  booktitle    = {TRAFFIC MANAGEMENT AND TRAFFIC ENGINEERING FOR THE FUTURE INTERNET},
  editor       = {Valadas, R and Salvador, P},
  isbn         = {978-3-642-04575-2},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Oprto, PORTUGAL},
  pages        = {1--15},
  publisher    = {SPRINGER-VERLAG BERLIN},
  title        = {Models for Capacity Demand Estimation in a TV Broadcast Network with Variable Bit Rate TV Channels},
  volume       = {5464},
  year         = {2009},
}

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