Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
Urllc-awared resource allocation for heterogeneous vehicular edge computing
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
A bandwidth control scheme for reducing the negative impact of bottlenecks in IoT environments: simulation and performance evaluation
O Said - Internet of Things, 2023 - Elsevier
Abstract The Internet of Things (IoT) environment comprises heterogeneous transmission
channels. The statuses of these channels may change rapidly due to dynamic variations in …
channels. The statuses of these channels may change rapidly due to dynamic variations in …
A survey on integrated computing, caching, and communication in the cloud-to-edge continuum
Cloud and edge computing have proposed different functionalities to enable multiple
applications requiring different communication, computing, and caching (3C) resources. The …
applications requiring different communication, computing, and caching (3C) resources. The …
Intelligent multi-domain edge orchestration for highly distributed immersive services: an immersive virtual touring use case
Edge cloud technologies in tandem with AI-enabled solutions can contribute to overcoming
the challenges that pertain the distributed execution of immersive services and contribute …
the challenges that pertain the distributed execution of immersive services and contribute …
Resource Allocation for the Training of Image Semantic Communication Networks
Semantic communication is a new paradigm that aims at providing more efficient
communication for the next-generation wireless network. It focuses on transmitting extracted …
communication for the next-generation wireless network. It focuses on transmitting extracted …
Cloud-edge-end-based aircraft assembly production quality monitoring system framework and applications
Q Zhang, Y Zhang, Q Luo, C Yu, N Yu, Q Wang… - Journal of Manufacturing …, 2024 - Elsevier
In recent years, the increasing complexity of quality control in aircraft assembly has
necessitated the development of innovative and integrated solutions. This paper introduces …
necessitated the development of innovative and integrated solutions. This paper introduces …
DRL for handover in 6G-vehicular networks: A survey
Abstract 3GPP is working on technology improvements related to sixth-generation (6G)
wireless communication networks to keep pace. 6G networks are being developed as the …
wireless communication networks to keep pace. 6G networks are being developed as the …
An Energy-Aware Resource Allocation Framework based on Reptile Search Algorithm and Gray Wolf Optimizer for Mobile Edge Computing
Mobile edge computing (MEC) is a new networking pattern that deploys resources layer by
layer to yield high-quality services. The MEC reduces the response time, energy …
layer to yield high-quality services. The MEC reduces the response time, energy …
Towards establishing intelligent multi-domain edge orchestration for highly distributed immersive services: a virtual touring use case
Edge cloud technologies working in conjunction with AI-powered solutions can help
surmount the challenges associated with the distributed execution of immersive services …
surmount the challenges associated with the distributed execution of immersive services …