Evaluation of H.264/AVC over IEEE 802.11p vehicular networks
![Thumbnail](/dspace/bitstream/handle/2183/35993/Fernandez_Carames_Tiago_2013_Evaluation_of_H264_AVC_over_IEEE%20802_11p_vehicular_networks.pdf.jpg?sequence=5&isAllowed=y)
Use this link to cite
http://hdl.handle.net/2183/35993Collections
- GI-GTEC - Artigos [190]
Metadata
Show full item recordTitle
Evaluation of H.264/AVC over IEEE 802.11p vehicular networksDate
2013Citation
Rozas-Ramallal, I., Fernández-Caramés, T.M., Dapena, A. et al. Evaluation of H.264/AVC over IEEE 802.11p vehicular networks. EURASIP J. Adv. Signal Process. 2013, 77 (2013). https://doi.org/10.1186/1687-6180-2013-77
Abstract
[Abstract]: The capacity of vehicular networks to offer non-safety services, like infotainment applications or the exchange of multimedia information between vehicles, have attracted a great deal of attention to the field of Intelligent Transport Systems (ITS). In particular, in this article we focus our attention on IEEE 802.11p which defines enhancements to IEEE 802.11 required to support ITS applications. We present an FPGA-based testbed developed to evaluate H.264/AVC (Advanced Video Coding) video transmission over vehicular networks. The testbed covers some of the most common situations in vehicle-to-vehicle and roadside-to-vehicle communications and it is highly flexible, allowing the performance evaluation of different vehicular standard configurations. We also show several experimental results to illustrate the quality obtained when H.264/AVC encoded video is transmitted over IEEE 802.11p networks. The quality is measured considering two important parameters: the percentage of recovered group of pictures and the frame quality. In order to improve performance, we propose to substitute the convolutional channel encoder used in IEEE 802.11p for a low-density parity-check code encoder. In addition, we suggest a simple strategy to decide the optimum number of iterations needed to decode each packet received.
Keywords
LDPC Code
Convolutional Code
Video Transmission
Vehicular Network
OFDM Symbol
Convolutional Code
Video Transmission
Vehicular Network
OFDM Symbol
Editor version
Rights
Atribución 3.0 España
ISSN
1687-6180
1687-6172
1687-6172