A Multi-dimensional Multi-choice Knapsack Framework for Efficient Resource Allocation in LEO Satellite Networks

Large-scale Internet of Things (IoT) connections in dynamic low Earth orbit (LEO) satellite networks face significant challenges in uplink resource scheduling. This paper proposes a framework for optimizing spectral efficiency. The framework satisfies heterogeneous quality of service (QoS) requireme...

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Bibliographic Details
Published in:	IEEE internet of things journal p. 1
Main Authors:	Huang, Yi, Li, Jin, Wu, Yonghan, Fan, Weixuan, Wang, Danshi, Zhang, Min
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Computational modeling differentiated quality of service (QoS) dynamic programming (DP) Heuristic algorithms Lagrangian relaxation low Earth orbit (LEO) Satellite Networks Low earth orbit satellites multi-dimensional multi-choice knapsack problem (MMKP) Optimization Orbits Processor scheduling Quality of service Resource management Satellite constellations Satellites uplink scheduling
ISSN:	2327-4662, 2327-4662
Online Access:	Get full text
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