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Adaptive FEC-Encoding for VideoStreaming over WiFiANDERS BRANDERUDMaster of
KTH, School of Information and Communication Technology (ICT).
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In video streaming it is important that the video stream reaches the users in time, and without errors. To retransmit lost packets in a large scale multimedia video transmission is often unfeasible because of the retransmission delay. Because of that errors require either costly retransmissions or causes a downgrade of performance for the receiving user, an important goal is to minimize the number of errors that occurs when transmitting data during video streaming through a wireless channel. In this paper an adaptation-algorithm is proposed, which adapts itself in such away that the receivers of e.g. the broadcast will receive enough packets in order to be able to FEC-decode the received data in low- as well as high loss-scenarios. The algorithm adapts itself by changing the rate of FEC-encoded redundant packets based on the current packet-loss-rate of the channel, with the aim of optimizing the bandwidth-usage and providing the receiver with playable data meeting deadlines. It adds an additional self-adaptive amount of FEC-encoded redundant packets for each FEC-encoded-session in order to guarantee the ability of the receiver to FEC-decode the data and play the media, even under the conditions in which the inteference-level of the channel increases during the transmission of each such session. Simulations demonstrate that in a wireless channel with a packet loss rate of 10%, using 1000 source packets per FEC-encoded unit, 12.6% redundant packets are required in order to ensure a FEC-decoding-failure probability< 11000 .

Place, publisher, year, edition, pages
2013. , 33 p.
TRITA-ICT-EX, 2013:219
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-143032OAI: diva2:705156
Subject / course
Communications Systems
Educational program
Master of Science in Engineering - Information and Communication Technology
Available from: 2014-03-14 Created: 2014-03-14 Last updated: 2014-03-14Bibliographically approved

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