Research Interests: My broad research interests lie at the intersection of context-awareness and network management.
In particular, I am interested in:
Research Overview: Several studies of human mobility patterns have revealed that it is possible to predict with reasonably high accuracy individual mobility trajectories. It has also been shown that long-term human mobility is predictable due to the daily periodicity in movements. Such information has diverse uses across traffic engineering, location-based advertising, and mobile computing.
My research investigates how location-awareness can be used to improve and optimize content delivery and network management. The focus has primarily been on HTTP-based adaptive video delivery optimization and base station (BS) energy-efficient radio access.
A system-level evaluation platform was built that integrates: i) wireless resource allocation and video delivery algorithms implemented in Matlab/ns-3, ii) real world maps from OpenStreetMaps, iii) a vehicular traffic simulator SUMO to generate realistic mobility scenarios, and iv) Gurobi optimization to solve large-scale mixed integer linear programs (for benchmark solutions).
The results of the research indicate that even a small amount of location information can significantly improve video streaming quality-of-experience and BS radio resource efficiency. Current work includes:
To find out more about my research please visit my Research and Publications pages.
Select Recent Publications:
In particular, I am interested in:
- context-aware radio access networks
- network adaptation and cross-layer optimization
- end-to-end adaptive video delivery
- vehicular connectivity and smart city infrastructure
- energy efficient content delivery
Research Overview: Several studies of human mobility patterns have revealed that it is possible to predict with reasonably high accuracy individual mobility trajectories. It has also been shown that long-term human mobility is predictable due to the daily periodicity in movements. Such information has diverse uses across traffic engineering, location-based advertising, and mobile computing.
My research investigates how location-awareness can be used to improve and optimize content delivery and network management. The focus has primarily been on HTTP-based adaptive video delivery optimization and base station (BS) energy-efficient radio access.
A system-level evaluation platform was built that integrates: i) wireless resource allocation and video delivery algorithms implemented in Matlab/ns-3, ii) real world maps from OpenStreetMaps, iii) a vehicular traffic simulator SUMO to generate realistic mobility scenarios, and iv) Gurobi optimization to solve large-scale mixed integer linear programs (for benchmark solutions).
The results of the research indicate that even a small amount of location information can significantly improve video streaming quality-of-experience and BS radio resource efficiency. Current work includes:
- implementation of the proposed video delivery methods under LTE specifications in ns-3, and
- modeling location uncertainties and solving the resulting stochastic optimization problems.
To find out more about my research please visit my Research and Publications pages.
Select Recent Publications:
- Toward Green Media Delivery: Location-Aware Opportunities and Approaches
H. Abou-zeid and H.S. Hassanein
IEEE Wireless Communications Magazine, Aug. 2014. - Energy Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks
H. Abou-zeid, H.S. Hassanein and S. Valentin
IEEE Transactions on Vehicular Technology. Special Section on Green Mobile Multimedia Communications, June, 2014. - Towards Predictive Radio Access: Modeling, Simulation, and Evaluation in LTE Networks
H. Abou-zeid, H.S. Hassanein, and R. Atawia
ACM Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Sept. 2014, to appear. - Predictive Green Wireless Access: Exploiting Mobility and Application Information
H. Abou-zeid and H.S. Hassanein
IEEE Wireless Communications Magazine, Oct. 2013.