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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE internet of things journal s. 1
Hlavní autori:	Huang, Yi, Li, Jin, Wu, Yonghan, Fan, Weixuan, Wang, Danshi, Zhang, Min
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!