Improving Scalable Video Transmission over IEEE 802.11e through a Cross-Layer Architecture

Author(s):  
Hsing-Lung Chen ◽  
Po-Ching Lee ◽  
Shu-Hua Hu
2007 ◽  
Vol 17 (12) ◽  
pp. 1665-1678 ◽  
Author(s):  
Chuan Heng Foh ◽  
Yu Zhang ◽  
Zefeng Ni ◽  
Jianfei Cai ◽  
King Ngi Ngan

2007 ◽  
Vol 22 (3) ◽  
pp. 317-330 ◽  
Author(s):  
J. Huusko ◽  
J. Vehkaperä ◽  
P. Amon ◽  
C. Lamy-Bergot ◽  
G. Panza ◽  
...  

2005 ◽  
Author(s):  
Yu Zhang ◽  
Zefeng Ni ◽  
Chuan Heng Foh ◽  
Jianfei Cai

Author(s):  
Tien Huu Vu ◽  
Supavadee Aramvith

Recent researches in video transmission over heterogeneous networks move toward cross-layer design to realize the optimal video quality. In this work, we investigate the cross layer approach between H.264 video coding layer and IEEE 802.11e Medium Access Control (MAC) layer on the issues of how to improve error resiliency of H.264 video using Flexible Macroblock Ordering (FMO), and how to reduce packet dropping rate at MAC layer. We propose an adaptive FMO map generation to separate high and low important macroblocks to different priority queues based on the overflow state of MAC layer queues. The arrival rate of packets to queues is thus changed to reduce the queue overflow and to decrease of the packet droppingrates at queues. Experimental results show that using the proposed scheme can reduce the packet drop rate at the queues resulting in the reduction of packet loss rate and the improvement of the average PSNR.


2013 ◽  
Vol 303-306 ◽  
pp. 1933-1938
Author(s):  
Yun Feng Wang ◽  
Hong Bing Ma

As an extension to H.264, Scalable Video Coding (SVC) provides three types of scalability, which makes it more suitable for the video transmission over wireless networks. IEEE 802.11e introduces EDCA mechanism to support Quality of Service (QoS). In this paper, a scheme, based on cross-layer design between application layer and MAC layer, is proposed to improve SVC transmission over 802.11e networks. With optimized mapping mechanism and queue management, the approach has taken the SVC video priority and network congestion status into consideration. Simulation demonstrates the effectiveness of the algorithm. The experimental results show that our approach can get full use of the limited wireless channel resources, by which SVC packets with high priority can obtain better protection, thus the decoding video quality can be significantly improved.


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