Energy Efficiency Maximization for Multi-LEO Satellite Networks

This paper proposes energy-efficient networking strategies for non-terrestrial communication systems where mul-tiple low Earth orbit (LEO) satellites support several ground access points (GAPs). Each LEO satellite exploits multiple spot beams to mitigate intra-LEO interference. Also, to manage inter-LEO interference, it is necessary to involve GAP-LEO scheduling optimization. We aim to design nested association policies among multiple LEO satellites, spot beams, and GAPs that can maximize the global energy efficiency (GEE) performance of multi-LEO satellite networks. To overcome the nondeterministic polynomial-time hard (NP-hard) nature of the original GEE maximization problem, we present a useful reformulation procedure and provide the optimal solution. The numerical results verify the effectiveness of our proposed solution in diverse system setups.