Computation efficiency optimization in UAV-enabled mobile edge computing system with multi-carrier non-orthogonal multiple access

In this paper, we study the issue of fair resource optimization for an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system with multi-carrier non-orthogonal multiple access (MC-NOMA). A computation efficiency (CE) optimization problem based on the max-min fairness principle unde...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2020; H. 1; S. 1 - 22
Hauptverfasser:	Xu, Fangcheng, Yu, Xiangbin, Cai, Jiali, Wang, Guangying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 14.09.2020 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Caching and Computation Issues in UAV-Enabled B5G Wireless Communication Communications Engineering Computation efficiency Computation offloading Computational efficiency Computational geometry Computer simulation Computing time Convergence Convexity Edge computing Engineering Fair resource allocation design Information Systems Applications (incl.Internet) Mathematical programming Maximization Mixed integer Mobile computing Mobile edge computing Networking Networks Non-orthogonal multiple access Nonlinear programming Nonorthogonal multiple access Optimization Polynomials Signal,Image and Speech Processing Unmanned aerial vehicle Unmanned aerial vehicles Computation efficiency Unmanned aerial vehicle Fair resource allocation design Non-orthogonal multiple access Mobile edge computing
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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