FTA-NTN: Fairness and Throughput Assurance in Non-Terrestrial Networks
Sachin Ravikant Trankatwar, Heiko Straulino, Petar Djukic, Burak Kantarci

TL;DR
This paper introduces FTA-NTN, a multi-objective optimization framework that enhances both throughput and fairness in non-terrestrial networks using advanced modeling, clustering, and optimization techniques, validated through realistic simulations.
Contribution
It presents a novel joint optimization framework for NTN that balances throughput and fairness, incorporating realistic system models and adaptive algorithms, advancing beyond prior throughput-focused approaches.
Findings
Achieves over 9.88 Gbps throughput with fairness of 0.42
Optimal configuration includes 9 planes with 15 satellites in LEO
Validated with 500 users under realistic system scenarios
Abstract
Designing optimal non-terrestrial network (NTN) constellations is essential for maximizing throughput and ensuring fair resource distribution. This paper presents FTA-NTN (Fairness and Throughput Assurance in Non-Terrestrial Networks), a multi-objective optimization framework that jointly maximizes throughput and fairness under realistic system constraints. The framework integrates multi-layer Walker Delta constellations, a parametric mobility model for user distributions across Canadian land regions, adaptive K-Means clustering for beamforming and user association, and Bayesian optimization for parameter tuning. Simulation results with 500 users show that FTA-NTN achieves over 9.88 Gbps of aggregate throughput with an average fairness of 0.42, corresponding to an optimal configuration of 9 planes with 15 satellites per plane in LEO and 7 planes with 3 satellites per plane in MEO. These…
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Taxonomy
TopicsSatellite Communication Systems · Advanced MIMO Systems Optimization · Opportunistic and Delay-Tolerant Networks
