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Capacity Analysis of Hybrid Satellite-Terrestrial Systems with Selection Relaying
Predrag Ivaniš1, Jovan Milojković1, Vesna Blagojević1
1School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia.
This study analyzes hybrid satellite-terrestrial relay networks, showing selection relaying improves performance over shadowed Rice and Nakagami-m fading channels. Analytical results confirm its usefulness for mobile satellite systems.
Area of Science:
- Wireless communication systems
- Information theory
- Signal processing
Background:
- Land mobile satellite systems face performance degradation due to multipath effects, obstacles, and atmospheric losses.
- Hybrid satellite-terrestrial relay networks offer a flexible solution to enhance system reliability.
- Fading channels significantly impact the stability and performance of wireless communication links.
Purpose of the Study:
- To analyze the performance of a hybrid satellite-terrestrial relay network employing selection relaying.
- To derive exact closed-form expressions for outage probability, outage capacity, and ergodic capacity.
- To evaluate the effectiveness of selection relaying under shadowed Rice and Nakagami-m fading conditions.
Main Methods:
- Mathematical modeling of a hybrid satellite-terrestrial relay network.
- Derivation of performance metrics using shadowed Rice and Nakagami-m fading models.
- Development of a fading simulator for independent result verification.
Main Results:
- Exact closed-form expressions for outage probability, outage capacity, and ergodic capacity were derived.
- The derived expressions are presented in a polynomial-exponential form suitable for integer-valued fading parameters.
- Numerical results demonstrate the benefits of selection relaying across various propagation scenarios and system geometries.
Conclusions:
- Selection relaying is a valuable protocol for improving the performance of hybrid satellite-terrestrial relay networks.
- The analytical results provide a robust framework for system design and optimization.
- The study's findings are validated through independent simulations, ensuring reliability.
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