Multi-Objective Resource Allocation for UAV-Assisted Air-Ground Integrated MC-NOMA Networks

We consider a Multi-UAV multicarrier non-orthogonal multiple access (MC-NOMA) downlink network in which each UAV serves a group of ground users within its designated cell. Our goal is to maximize the total downlink rate for each cell by simultaneously optimizing the subcarrier assignment and power c...

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Vydáno v:	IEEE access Ročník 12; s. 141000 - 141012
Hlavní autor:	Wang, Tong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Autonomous aerial vehicles big-m method Combinatorial analysis Constraints Continuity (mathematics) Downlink Downlinking Mixed integer Mixed integer linear programming mixed integer nonlinear problem (MINLP) multi-objective optimization problem (MOOP) Multiple objective analysis NOMA Non-orthogonal multiple access (NOMA) Nonlinear programming Nonorthogonal multiple access Optimization Pareto optimization Pareto optimum Power control Programming Resource allocation Resource management subcarrier assignment Subcarriers successive convex approximation (SCA)
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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