Intelligent secure mobile edge computing for beyond 5G wireless networks

Computational task offloading at the mobile edge servers is a promising strategy to reduce latency and energy consumption in 5G wireless networks. In this paper, we study the problem of offloading decision and system design in the intelligent secure mobile edge computing (MEC) system with a UAV eave...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Lai, Shiwei [verfasserIn]

Zhao, Rui

Tang, Shunpu

Xia, Junjuan

Zhou, Fasheng

Fan, Liseng

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021transfer abstract

Schlagwörter:

Mobile edge computing

Physical layer security

Deep reinforcement learning

Übergeordnetes Werk:

Enthalten in: A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions - Soroush Karimi Madahi, Seyed ELSEVIER, 2022, Amsterdam [u.a.]

Übergeordnetes Werk:

volume:45 ; year:2021 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.phycom.2021.101283

Katalog-ID:

ELV053250966

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