Scope

My research studies radio resource management problem for rain faded Digital Video Broadcast-Return Channel via Satellite (DVB-RCS) networks. The research stems from two aspects: rain level granularity and area size.

The thesis investigates how using finer rain level granularity can improve bandwidth utilisation in DVB-RCS return links. The thesis presents a mathematical model to calculate the bandwidth on demand. The radio resource allocation is formulated as an optimisation problem, and a novel algorithm for dynamic carrier bandwidth and time slots allocation is proposed, which works with constant bit rate type of traffic. The research provides theoretical analysis for the time slot allocation problem and shows that the proposed algorithm achieves optimal results.

This thesis also studies Return Channel Satellite Terminals (RCSTs) geographical distribution effects on bandwidth demand and presents two novel mathematical models to estimate the maximum instantaneous bandwidth demand for RCSTs uniformly distributed over a geographical area.

All the proposed algorithms have been evaluated using a novel simulation environment. The proposed simulation environment is developed using MATLAB with historical rain data.

Related Publications

Conference Proceedings:

• Al-Mosawi, R. Khusainov, and B. Gremont, “A Real Time Algorithm for Bandwidth and Time-slot Assignment for Rain Faded DVB-RCS Systems,” Proceedings of the Fourth International Conference on Advances in Satellite and Space Communications, SPACOMM ’12: Mont-Blanc, Apr. 2012, pp. 1–5.

Journal Papers:

• Al-Mosawi, R. Khusainov, and B. Gremont, “Rain granularity effects on bandwidth demand for faded DVB-RCS systems,” International Journal of Satellite Communications and Networking, 2014. (To appear)

• Al-Mosawi, R. Khusainov, “Estimating Bandwidth Demand in Faded DVB-RCS Systems Using RCSTs Geographical Distribution”, IEEE Transactions on Communications, 2014. (Under review)