Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
Deep reinforcement learning for resource allocation in multi-band and hybrid OMA-NOMA wireless networks
Exploiting the advantages of both non-orthogonal multiple access technique and millimeter-
wave communications requires joint efficient resource allocation techniques toward …
wave communications requires joint efficient resource allocation techniques toward …
Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks
GMS Rahman, T Dang, M Ahmed - Intelligent and Converged …, 2020 - ieeexplore.ieee.org
Fog Radio Access Networks (F-RANs) have been considered a groundbreaking technique
to support the services of Internet of Things by leveraging edge caching and edge …
to support the services of Internet of Things by leveraging edge caching and edge …
A joint learning and game-theoretic approach to multi-dimensional resource management in fog radio access networks
Fog radio access networks (F-RANs) have been regarded as a promising paradigm to
support latency-sensitive and computation-intensive services by leveraging computing and …
support latency-sensitive and computation-intensive services by leveraging computing and …
Cooperative distributed resource allocation in heterogeneous networks with d2d communication
With the explosive increase of intelligent applications and smart terminals, the high-speed
transmission is the fundamental requirement for the future network. As a powerful …
transmission is the fundamental requirement for the future network. As a powerful …
Energy efficient indoor localisation for narrowband internet of things
There are an increasing number of Narrow Band IoT devices being manufactured as the
technology behind them develops quickly. The high co‐channel interference and signal …
technology behind them develops quickly. The high co‐channel interference and signal …
Joint resource allocation for ultra-reliable and low-latency radio access networks with edge computing
This paper investigates a joint resource allocation for ultra-reliable and low-latency radio
access networks (URLLRANs) with edge computing. Compared with conventional networks …
access networks (URLLRANs) with edge computing. Compared with conventional networks …
Joint Content Caching, Service Placement and Task Offloading in UAV-Enabled Mobile Edge Computing Networks
In this paper, we consider an unmanned aerial vehicle (UAV)-enabled mobile edge
computing (MEC) network, where multiple UAVs with caching and computation …
computing (MEC) network, where multiple UAVs with caching and computation …
TBOMC: A task-block-based overlap** matching-coalition scheme for task offloading in vehicular fog computing
Vehicular fog computing (VFC) is regarded as a promising framework for vehicular
computing applications by utilizing local spare resources of nearby vehicles to conduct …
computing applications by utilizing local spare resources of nearby vehicles to conduct …
Joint MCS adaptation and RB allocation in cellular networks based on deep reinforcement learning with stable matching
Joint modulation-coding scheme (MCS) adaptation and resource block (RB) allocation is an
effective approach to guarantee different quality of service (QoS) requirements of all UEs …
effective approach to guarantee different quality of service (QoS) requirements of all UEs …