Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding
Multiuser scheduling on the downlink of an LTE cellular system
Research Letters in Communications - Regular issue
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
3G Evolution, Second Edition: HSPA and LTE for Mobile Broadband
Scheduling in IEEE 802.16e Mobile WiMAX networks: key issues and a survey
IEEE Journal on Selected Areas in Communications - Special issue on broadband access networks: Architectures and protocols
4G Wireless Video Communications
4G Wireless Video Communications
TFRC-based rate control for real-time video streaming over wireless multi-hop mesh networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Cross-Layer Optimized Video Streaming Over Wireless Multihop Mesh Networks
IEEE Journal on Selected Areas in Communications
QoS-oriented packet scheduling for efficient video support in OFDMA-based packet radio systems
MACOM'11 Proceedings of the 4th international conference on Multiple access communications
QoS-aware downlink packet scheduling for LTE networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
| Hi-index | 0.25 |
3GPP Long Term Evolution is one of the major steps in mobile communication to enhance the user experience for next-generation mobile broadband networks. In LTE, orthogonal frequency-division multiple access is adopted in the downlink of its E-UTRA air interface. Although cross-layer techniques have been widely adopted in literature for dynamic resource allocation to maximize data rate in OFDMA wireless networks, application-oriented quality of service for video delivery, such as delay constraint and video distortion, have been largely ignored. However, for wireless video delivery in LTE, especially delay-bounded real-time video streaming, higher data rate could lead to higher packet loss rate, thus degrading the user-perceived video quality. In this article we present a new QoS-aware LTE OFDMA scheduling algorithm for wireless real-time video delivery over the downlink of LTE cellular networks to achieve the best user-perceived video quality under the given application delay constraint. In the proposed approach, system throughput, application QoS constraints, and scheduling fairness are jointly integrated into a cross-layer design framework to dynamically perform radio resource allocation for multiple users, and to effectively choose the optimal system parameters such as modulation and coding scheme and video encoding parameters to adapt to the varying channel quality of each resource block. Experimental results have shown significant performance enhancement of the proposed system.