Media Streaming Management in Heterogeneous Wireless Networks

Project Overview

Project Title

Media Streaming Management In Heterogeneous Wireless Systems

Project Duration

2 years (Mar 2012 - Feb 2014)

Introduction

Mobile video is getting pervasive enabled by the increasing penetration of smart handhel devices and the high data rates supported by novel wireless technologies. CISCO predicts that mobile data traffic will increase 26 times between 2010 and 2015 with a compound annual growth rate (CAGR) of 92 percent. More importantly, mobile video is expected to have the highest growth rate of any application category with a CAGR of 108 percent between 2010 and 2015. Over this forecast period, business video conferencing will grow sixfold. Additionally, almost 66 percent of the world’s mobile data traffic will be video by 2014. This unprecedented increase puts significant pressure on network operators to improve the spectral efficiency of their systems by adopting the state of the art technologies proposed in the long-term evolution (LTE) of cellular standards. However, these technologies alone would not suffice as their expected gain would not match the increase in mobile data. Hence, the concept of heterogeneous wireless networks in which overlays of different coexisting base stations (BSs) collaborate to achieve traffic load distribution and improved quality of service (QoS) evolves as a key solution to improve the system spectral efficiency. These coexisting BSs include not only different scales of cellular base stations, such as macro, micor, pico, and femtocell, but also BSs operating other technologies such as wireless local area networks (WLANs) and Worldwide Interoperability for Microwave Access (WiMax).

In this project, we aim to develop solutions that improves the user media streaming experience over heterogeneous wireless networks. These solutions will address different relevant aspects in mobile video including optimized streaming cost strategies efficient media transmission techniques. Additonally, these solutions would consider different scenarios including streaming scalable and non-scalable over heterogeneous networks. 

Project Team 

Principal Investigator

    • Ahmed H. Zahran

Research Assistants

    • Abubakr Elabbasi
    • Ghada Gamal Rizk 
    • Samar Ibrahim 

Work Packages 

WP1: Developing a Stream Management Algorithm for Scalable Media

objective

  • develop client-based streaming management algorithms that minimize the session cost of scalable video in heterogeneous wireless systems

Main Tasks

  • formulate and solve an optimization problem that represents the decision engine of the streaming management algorithm and find a practical solution that accommodates the operating constraints and available resources.
  • Evaluate the performance of the developed solution using network simulations.
  • Develop an NS2 objects required for enabling controled scalable video coding.


WP2: Developing Streaming Algorithms for Multitier Systems

objective

  • develop client-based streaming management algorithms that minimize the session cost in multi-tier wireless systems.

Main Tasks

  • formulate and solve an optimization problem that represents the decision engine of the streaming management algorithm and find a practical solution that accommodates the operating constraints and available resources.
  • Evaluate the performance of the developed solution using network simulations.

 

WP3: Efficient Scalable Video Transmission over HTTP

Objective

  • the design of efficient HTTP streaming schemes that understands the capability and limitations of HTTP/TCP.

Tasks

  • Research and develop efficient scalable media HTTP streaming strategies over Wireless networks.
  • Implement a testbed for evaluating the performance of streaming in real environment.

 

Publications 

  • Ghada G. Rizk, Ahmed H. Zahran, Mahmoud H. Ismaiil, “AVIS: An Adaptive VIdeo Simulation Framework for Scalable Video,” submitted for publication in the Proc of the 8th International Conference on Next Generation Mobile Apps, Services and Technologies, Oxford, UK, 10-12 Sep, 2014.

  • Samar Ali, Ahmed H. Zahran, Mahmoud H. Ismaiil, “SVC-DASH-M: Scalable Video Coding Dynamic Adaptive Streaming Over HTTP Using Multiple Connections,” in the Proc of the 21st International Conference on Telecommunications (ICT 2014), Lisbon, Portugal, May 2014. 

  •  Abubakr Alabbasi and Ahmed Zahran, "Media Streaming Cost Optimization for Heterogeneous Three-tier Wireless Networks," the proceeding of 2013 IFIP Wireless Days conference, Valencia, Spain, Nov 2014. 

  • Ilias Tsompanidis, Ahmed H. Zahran and Cormac Sreenan “SuperBS: A Methodology for Resource Management in Heterogeneous Wireless Networks,” In Proc. of the 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013) to be held July 1-5, 2013, in Cagliari, Sardinia, Italy
  • J. Quinlan, Ahmed H. Zahran, C.J. Sreenan “ALD: Adaptive Layer Distribution for Scalable Video,” in proc. of ACM MMSys, February 27 - March 1, 2013 Oslo, Norway. (acceptance ration 23.5%)
  • Ilias Tsompanidis, Ahmed H. Zahran and Cormac Sreenan “Towards utility-based resource management in heterogeneous wireless networks,” In Proc. of the seventh ACM international workshop on Mobility in the evolving internet architecture (MobiArch '12). ACM, New York, NY, USA, 23-28.
  • Jason Quinlan, Ahmed Zahran, Cormac Sreenan, "SDC: Scalable Description Coding for Adaptive Streaming Media," in the proc. the 19th International Packet Video Workshop, May 10-11, 2012, Munich, Germany

Presentations 

Sponsor

This Project is Sponsored by the National Telecommunication Regulation Authority (NTRA) of Egypt 

 

ntra