6G: The Intelligent Network of Everything--A Comprehensive Vision, Survey, and Tutorial
H Pennanen, T Hänninen, O Tervo, A Tölli… - arXiv preprint arXiv …, 2024 - arxiv.org
The global 6G vision has taken its shape after years of international research and
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
Multiagent deep reinforcement learning for task offloading and resource allocation in cybertwin-based networks
W Hou, H Wen, H Song, W Lei… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, a hierarchical task offloading strategy is presented for delay-tolerant and delay-
sensitive missions by integrating edge computing and artificial intelligence into Cybertwin …
sensitive missions by integrating edge computing and artificial intelligence into Cybertwin …
Energy-aware blockchain and federated learning-supported vehicular networks
M Aloqaily, I Al Ridhawi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The aerial capabilities and flexibility in movement of Unmanned Aerial Vehicles (UAVs) has
enabled them to adaptively provide both traditional and more contemporary services. In this …
enabled them to adaptively provide both traditional and more contemporary services. In this …
Hybrid NOMA-FDMA assisted dual computation offloading: A latency minimization approach
Edge computing has been considered as a promising solution for enabling computation-
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
QoS-aware offloading based on communication-computation resource coordination for 6G edge intelligence
Driven by the demands of diverse artificial intelligence (AI)-enabled application, Mobile
Edge Computing (MEC) is considered one of the key technologies for 6G edge intelligence …
Edge Computing (MEC) is considered one of the key technologies for 6G edge intelligence …
CoxNet: A Computation Reuse Architecture at the Edge
In recent years, edge computing has emerged as an effective solution to extend cloud
computing and satisfy the demand of applications for low latency. However, with today's …
computing and satisfy the demand of applications for low latency. However, with today's …
Quality-aware joint caching, computing and communication optimization for video delivery in vehicular networks
As being clear that the joint optimization of caching, computing, and communication (3C)
can significantly improve vehicular network performance, this paper investigates the quality …
can significantly improve vehicular network performance, this paper investigates the quality …
A game-theoretic analysis of joint mobile edge caching and peer content sharing
Mobile edge caching allows edge devices to cache popular contents and deliver them to
end-users directly, and hence can effectively alleviate the increasingly heavy backbone …
end-users directly, and hence can effectively alleviate the increasingly heavy backbone …
A multi-layer offloading framework for dependency-aware tasks in mec
W He, L Gao, J Luo - ICC 2021-IEEE International Conference …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising solution to reduce the task execution delay by
placing the computation resource at the network edge close to the end-users, and has …
placing the computation resource at the network edge close to the end-users, and has …
Deep learning for latent events forecasting in content caching networks
A novel Twitter context aided content caching (TAC) framework is proposed for enhancing
the caching efficiency by taking advantage of the legibility and massive volume of Twitter …
the caching efficiency by taking advantage of the legibility and massive volume of Twitter …