Utility Maximization for Multi-UAV-Assisted IoT Sensor Systems With NOMA

In this article, we consider a multi-unmanned aerial vehicle (UAV)-assisted Internet-of-Things (IoT) sensor system with nonorthogonal multiple access (NOMA) and aim to maximize the sum utility of bit rates of all IoT sensors through the joint optimization of user association, 3-D UAV placement, deco...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 24; no. 17; pp. 28233 - 28250
Main Authors:	Tang, Rui, Zhou, Wenli, Zhang, Ruizhi, Xu, Yongjun, Li, Xingwang, Zhang, Haibo
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Autonomous aerial vehicles Convexity Decoding Genetic algorithms Greedy algorithms Internet of Things Machine learning Mathematical programming Mixed integer NOMA Nonconvex optimization Nonorthogonal multiple access nonorthogonal multiple access (NOMA) Optimization Placement Quadratic programming Resource allocation Resource management Sensor systems Sensors unmanned aerial vehicle (UAV) swarm Unmanned aerial vehicles
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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