Q-learning based computation offloading for multi-UAV-enabled cloud-edge computing networks

Unmanned aerial vehicles (UAVs) have been recently considered as a flying platform to provide wide coverage and relaying services for mobile users (MUs). Mobile edge computing (MEC) is developed as a new paradigm to improve quality of experience of MUs in future networks. Motivated by the high flexi...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET communications Ročník 14; číslo 15; s. 2481 - 2490
Hlavní autoři:	Wang, Meng, Shi, Shuo, Gu, Shushi, Gu, Xuemai, Qin, Xue
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 15.09.2020
Témata:	autonomous aerial vehicles cellular radio cloud computing complexity reduction computation resources controllability edge servers efficient Q‐learning based computation offloading algorithm flying platform integer programming learning (artificial intelligence) mixed‐integer nonlinear programming problem mobile computing mobile edge computing mobile users MU energy consumption multiUAV‐enabled cloud‐edge computing networks multiUAV‐enabled MEC system multi‐robot systems MUs‐Edge‐Cloud three‐layer network architecture nonlinear programming optimisation problem QCOA quality of experience random offloading relay networks (telecommunication) relaying services remote cloud centre Special Section: UAV-Enabled Mobile Edge Computing traversal offloading two‐layer network architecture UAV unmanned aerial vehicles flying platform QCOA integer programming nonlinear programming relaying services multi-robot systems remote cloud centre UAV edge servers optimisation problem efficient Q-learning based computation offloading algorithm mobile computing MU energy consumption controllability mixed-integer nonlinear programming problem complexity reduction mobile users cloud computing learning (artificial intelligence) MUs-Edge-Cloud three-layer network architecture multiUAV-enabled cloud-edge computing networks relay networks (telecommunication) computation resources multiUAV-enabled MEC system unmanned aerial vehicles random offloading quality of experience autonomous aerial vehicles traversal offloading two-layer network architecture mobile edge computing cellular radio
ISSN:	1751-8628, 1751-8636
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!