A renewal-theoretic framework derives persistent ergodic capacity for LEO mega-constellations under finite serving times and arbitrary handovers, with optimal handover decisions obtained via a fractional program solved by Dinkelbach's algorithm.
Channel capacity over generalized fading channels: A novel MGF-based approach for perfor- mance analysis and design of wireless communication systems
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Ergodic Capacity and Optimal Handover in Satellite Mega-Constellations under Finite Serving Times
A renewal-theoretic framework derives persistent ergodic capacity for LEO mega-constellations under finite serving times and arbitrary handovers, with optimal handover decisions obtained via a fractional program solved by Dinkelbach's algorithm.