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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Main Author: Surathi Srikiran Rao
Other Authors: Guan Yong Liang
Format: Theses and Dissertations
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/73116
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Surathi Srikiran Rao
Finite-length network coding for multi-hop video streaming in vehicular networks
description 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
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