Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Mobile edge computing: A survey on architecture and computation offloading
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …
goes hand-in-hand with evolution of new mobile applications. However, running …
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 …
A survey on 5G millimeter wave communications for UAV-assisted wireless networks
In recent years, unmanned aerial vehicles (UAVs) have received considerable attention from
regulators, industry and research community, due to rapid growth in a broad range of …
regulators, industry and research community, due to rapid growth in a broad range of …
Formation of global competitive enterprise environment based on industry 4.0 concept
H Dzwigol, M Dzwigol-Barosz… - International Journal of …, 2020 - search.proquest.com
The rapid development of information technology, the acceleration of the international
movement of goods, services, capital, the fragmentation of production, trade and …
movement of goods, services, capital, the fragmentation of production, trade and …
Hybrid SDN networks: A survey of existing approaches
Software defined networking (SDN) decouples the control plane from the data plane of
forwarding devices. This separation provides several benefits, including the simplification of …
forwarding devices. This separation provides several benefits, including the simplification of …
Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload
on the base station and reduce the processing delay during the peak time. The computation …
on the base station and reduce the processing delay during the peak time. The computation …
Integration of blockchain and cloud of things: Architecture, applications and challenges
The blockchain technology is taking the world by storm. Blockchain with its decentralized,
transparent and secure nature has emerged as a disruptive technology for the next …
transparent and secure nature has emerged as a disruptive technology for the next …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …