Finite-length network coding for multi-hop video streaming in vehicular networks
Providing high quality video streaming over multi-hop vehicular networks is a challenging problem because the inter-vehicular channels are noisy, error prone and time varying. A finite-length network coding technique, called Batched Sparse (BATS) Code, can recover packet errors and improve the deliv...
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2018
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sg-ntu-dr.10356-731162023-07-04T15:05:56Z Finite-length network coding for multi-hop video streaming in vehicular networks Surathi Srikiran Rao Guan Yong Liang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Providing high quality video streaming over multi-hop vehicular networks is a challenging problem because the inter-vehicular channels are noisy, error prone and time varying. A finite-length network coding technique, called Batched Sparse (BATS) Code, can recover packet errors and improve the delivery rate for multi-hop communications. However, the traditional BATS code was designed for quasi-static channel, where the end-to-end channel quality can be well estimated. In this project, extensive experiments with commercial modems have been conducted to characterize the packet reception probabilities of Vehicular-to-vehicular (V2V) communications with various modulation coding schemes and communication distances. Based on the measured results, we optimize the degree distribution of the BATS code so that it matches well with the channel. The optimized BATS code is then applied for achieving real-time video streaming over the NTU-NXP Smart Mobility Testbed. Master of Science (Communications Engineering) 2018-01-03T06:20:48Z 2018-01-03T06:20:48Z 2018 Thesis http://hdl.handle.net/10356/73116 en 67 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Surathi Srikiran Rao Finite-length network coding for multi-hop video streaming in vehicular networks |
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Providing high quality video streaming over multi-hop vehicular networks is a challenging problem because the inter-vehicular channels are noisy, error prone and time varying. A finite-length network coding technique, called Batched Sparse (BATS) Code, can recover packet errors and improve the delivery rate for multi-hop communications. However, the traditional BATS code was designed for quasi-static channel, where the end-to-end channel quality can be well estimated. In this project, extensive experiments with commercial modems have been conducted to characterize the packet reception probabilities of Vehicular-to-vehicular (V2V) communications with various modulation coding schemes and communication distances. Based on the measured results, we optimize the degree distribution of the BATS code so that it matches well with the channel. The optimized BATS code is then applied for achieving real-time video streaming over the NTU-NXP Smart Mobility Testbed. |
author2 |
Guan Yong Liang |
author_facet |
Guan Yong Liang Surathi Srikiran Rao |
format |
Theses and Dissertations |
author |
Surathi Srikiran Rao |
author_sort |
Surathi Srikiran Rao |
title |
Finite-length network coding for multi-hop video streaming in vehicular networks |
title_short |
Finite-length network coding for multi-hop video streaming in vehicular networks |
title_full |
Finite-length network coding for multi-hop video streaming in vehicular networks |
title_fullStr |
Finite-length network coding for multi-hop video streaming in vehicular networks |
title_full_unstemmed |
Finite-length network coding for multi-hop video streaming in vehicular networks |
title_sort |
finite-length network coding for multi-hop video streaming in vehicular networks |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/73116 |
_version_ |
1772827531359027200 |