Proceedings of the seventeenth ACM symposium on Operating systems principles
Scalable WiFi media delivery through adaptive broadcasts
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Opportunistic alignment of advertisement delivery with cellular basestation overloads
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Scalable video multicast with joint layer resource allocation in broadband wireless networks
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
FlexCast: graceful wireless video streaming
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
A cross-layer design for scalable mobile video
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
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Although wireless broadband technologies have evolved significantly over the past decade, they are still insufficient to support the fast-growing mobile traffic, especially due to the increasing popularity of mobile video applications. Wireless multicast, aiming to exploit the wireless broadcast advantage, is a viable approach to bridge the gap between the limited wireless networking capacity and the ever-increasing mobile video traffic demand. In this work, we propose MuVi, a Multicast Video delivery scheme in OFDMA-based 4G wireless networks, to optimize multicast video traffic. MuVi differentiates video frames based on their importance in reconstructing the video and incorporates an efficient radio resource allocation algorithm to optimize the overall video quality across all users in the multicast group. MuVi is a lightweight solution with most of the implementation in the gateway, slight modification in the base-station, and no modification at the clients. We implement MuVi on a WiMAX testbed and compare its performance to a Naive wireless multicast scheme that employs the most robust MCS (Modulation and Coding Scheme), and an Adaptive scheme that employs the highest MCS supportable by all clients. Experimental results show that MuVi improves the average video PSNR (Peak Signal-to-Noise Ratio) by up to 13 and 7 dB compared to the Naive and the Adaptive schemes, respectively. MuVi does not require modification to the video encoding scheme or the air interface. Thus it allows speedy deployment in existing systems.