TY - JOUR
T1 - Quality-driven cross-layer design for H.264/AVC video transmission over OFDMA system
AU - He, Lijun
AU - Liu, Guizhong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Video applications over wireless network have attracted more and more attention in recent years. However, due to the unique characteristics of video, limited available resources and the time-varying wireless channel state, video transmission over wireless network is still a challenging task. In this paper, a novel cross-layer design is proposed to maximize the overall received video quality with the limited network resource and the stringent deadline constraints over OFDMA network. Considering the information extracted from the Application layer, Media Access Control layer and Physical layer, we formulate the packet scheduling, subcarrier assignment and power allocation into a mathematical model. By employing Lagrange dual decomposition, asymptotically optimal packet scheduling and resource allocation strategy can be obtained. To reduce the computation complexity, we further develop a suboptimal solution which performs packet scheduling and subcarrier assignment jointly but power optimization independently. Finally, we validate our proposed algorithms in a multi-user scenario where all the video sequences are pre-encoded by H.264/AVC encoder. Experimental results demonstrate that our proposed algorithms can indeed improve the received video quality significantly compared with other existing algorithms.
AB - Video applications over wireless network have attracted more and more attention in recent years. However, due to the unique characteristics of video, limited available resources and the time-varying wireless channel state, video transmission over wireless network is still a challenging task. In this paper, a novel cross-layer design is proposed to maximize the overall received video quality with the limited network resource and the stringent deadline constraints over OFDMA network. Considering the information extracted from the Application layer, Media Access Control layer and Physical layer, we formulate the packet scheduling, subcarrier assignment and power allocation into a mathematical model. By employing Lagrange dual decomposition, asymptotically optimal packet scheduling and resource allocation strategy can be obtained. To reduce the computation complexity, we further develop a suboptimal solution which performs packet scheduling and subcarrier assignment jointly but power optimization independently. Finally, we validate our proposed algorithms in a multi-user scenario where all the video sequences are pre-encoded by H.264/AVC encoder. Experimental results demonstrate that our proposed algorithms can indeed improve the received video quality significantly compared with other existing algorithms.
KW - Cross layer
KW - Packet scheduling
KW - Power optimization
KW - Subcarrier assignment
KW - Video transmission
UR - https://www.scopus.com/pages/publications/84919609139
U2 - 10.1109/TWC.2014.2364603
DO - 10.1109/TWC.2014.2364603
M3 - 文章
AN - SCOPUS:84919609139
SN - 1536-1276
VL - 13
SP - 6768
EP - 6782
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 12
M1 - 6933945
ER -