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Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …
and beyond. IEC is considered to be a promising backbone of future services and wireless …
Secure task offloading in blockchain-enabled mobile edge computing with deep reinforcement learning
Mobile Edge Computing (MEC) is a promising and fast-develo** paradigm that provides
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …
Joint task offloading, resource allocation, and load-balancing optimization in multi-UAV-aided MEC systems
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks
face significant challenges in executing delay-sensitive and computation-intensive mobile …
face significant challenges in executing delay-sensitive and computation-intensive mobile …
Survey on mobile edge-cloud computing: A taxonomy on computation offloading approaches
With the technological evolution of Internet of Things (IoT) devices and wireless
communications, a wide variety of new complex mobile applications and different services …
communications, a wide variety of new complex mobile applications and different services …
Multi-story building model for efficient IoT network design
S Bushelenkov, A Paramonov, A Muthanna… - Mathematics, 2023 - mdpi.com
This article presents a new network model for IoT that is based on a multi-story building
structure. The model locates network nodes in a regular, cubic lattice-like structure, resulting …
structure. The model locates network nodes in a regular, cubic lattice-like structure, resulting …
An efficient method for choosing digital cluster size in ultralow latency networks
A Paramonov, M Khayyat, N Chistova… - Wireless …, 2021 - Wiley Online Library
The paper proposes a solution to the problem of choosing the size of a cluster in an ultralow
latency network. This work is aimed at designing a method for choosing the size of the digital …
latency network. This work is aimed at designing a method for choosing the size of the digital …
Flexible architecture for deployment of edge computing applications
Recently, a great development has occurred in the communication networks, in which the
trend of development is towards automation and flexible network structure. In addition, the …
trend of development is towards automation and flexible network structure. In addition, the …
Fractal-Based N-Environment Multi-Agent IoT System Reliability
The tremendous growth of Internet of Things (IoT) systems and the popularity of distributed
systems, which were brought back into fashion by containerization, create new challenges …
systems, which were brought back into fashion by containerization, create new challenges …
Topology search using dilution of precision criterion for enhanced 5G positioning service area
G Fokin, V Sevidov - 2021 13th International Congress on Ultra …, 2021 - ieeexplore.ieee.org
User Equipment (UE) positioning is an actual topic for research and investigation in Ultra-
Dense Networks (UDN) due to transition of 5G and future mobile technologies to mmWave …
Dense Networks (UDN) due to transition of 5G and future mobile technologies to mmWave …
Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading
Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to
overcome the inherent resource limitations of vehicles by offloading computationally …
overcome the inherent resource limitations of vehicles by offloading computationally …