The Community for Technology Leaders
RSS Icon
Issue No.03 - July-Sept. (2013 vol.20)
pp: 88-94
Amit Pande , University of California, Davis
Vishal Ahuja , University of California, Davis
Rajarajan Sivaraj , University of California, Davis
Eilwoo Baik , University of California, Davis
Prasant Mohapatra , University of California, Davis
Wireless network traffic is dominated by video and requires new ways to maximize the user experience and optimize networks to prevent saturation. The exploding number of subscribers in cellular networks has exponentially increased the volume and variety of multimedia content flowing across the network. This article details some challenges in delivery of multimedia content over 4G networks for several application scenarios. To augment the increasing demand for video applications in cellular and wireless traffic, these challenges must be efficiently addressed.
Streaming media, Packet loss, Multimedia communication, Mobile communication, Real-time systems, 4G mobile communication, video telephony, multimedia, multimedia applications, video communication, LTE, multicast, uplink, video-on-demand
Amit Pande, Vishal Ahuja, Rajarajan Sivaraj, Eilwoo Baik, Prasant Mohapatra, "Video Delivery Challenges and Opportunities in 4G Networks", IEEE MultiMedia, vol.20, no. 3, pp. 88-94, July-Sept. 2013, doi:10.1109/MMUL.2013.44
1. A. Finamore et al., "YouTube Everywhere: Impact of Device and Infrastructure Synergies on User Experience," Proc. ACM SIGCOMM Conf. Internet Measurement, ACM, 2011, pp. 345–360.
2. J. Erman et al., "Over the Top Video: The Gorilla in Cellular Networks," Proc. ACM SIGCOMM Conf. Internet Measurement, ACM, 2011, pp. 127–136.
3. I. Sodagar, "The MPEG-DASH Standard for Multimedia Streaming over the Internet," IEEE Multimedia, vol. 18, no. 4, 2011, pp. 62–67.
4. T. Brandon and H. Johari, "Confused, Timid, and Unstable: Picking a Video Streaming Rate Is Hard," Proc. ACM SIGCOMM Conf. Internet Measurement, ACM, 2012.
5. V.K. Adhikari et al., "Reverse Engineering the YouTube Video Delivery Cloud," Proc. ACM SIGMETRICS Joint Int'l Conf. Measurement and Modeling of Computer Systems, ACM, 2011, pp. 137–138
6. V K. Fitchard, "Can LTE Broadcast Dam the Mobile Video Deluge?" blog, 10 Jan. 2013; broadcast-dam-the-mobile-video-deluge.
7. R. Sivaraj, A. Pande, and P. Mohapatra, "Spectrum-Aware Radio Resource Management for Scalable Video Multicast in LTE-Advanced Systems," Proc. IFIP Networking, 2013.
8. E. Baik, A. Pande, and P. Mohapatra, "Cross-Layer Coordination for Efficient Contents Delivery in LTE eMBMS Traffic," Proc. 9th IEEE Int'l Conf. Mobile Ad Hoc and Sensor Systems, IEEE CS, 2012, pp. 398–406.
9. S. Jakubczak and D. Katabi, "Softcast: One- Size-Fits-All Wireless Video," ACM SIGCOMM Computer Comm. Rev., vol. 40, no. 4, 2010, pp. 449–450.
10. J. Wang and D. Katabi, "Chitchat: Making Video Chat Robust to Packet Loss," tech. report, MIT-CSAIL-TR-2010-031, Aug. 2010.
11. R. Sivaraj et al., "Edge-Prioritized Channel- and Traffic-Aware Uplink Carrier Aggregation in LTE-Advanced Systems," Proc. 13th Int'l Symp. World of Wireless, Mobile and Multimedia Networks (WOWMOM), IEEE CS, 2012, pp. 1–9.
12. A. Schulman et al., "Bartendr: A Practical Approach to Energy-Aware Cellular Data Scheduling," Proc. 16th Ann. Int'l Conf. Mobile Computing and Networking (MobiCom), ACM, 2010, pp. 85–96.
13. J. Jansen et al., "Enabling Composition-Based Video-Conferencing for the Home," IEEE Trans. Multimedia, vol. 13, no. 5, 2011, pp. 869–881.
14. Y. Xu et al., "Video Telephony for End Consumers: Measurement Study of Google+, iChat, and Skype," Proc. ACM Conf. Internet Measurement, ACM, 2012, pp. 371–384.
16 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool