Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …
consensus in both industry and academia for materializing the vision of artificial intelligence …
Green edge AI: A contemporary survey
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …
Digital twin empowered content caching in social-aware vehicular edge networks
K Zhang, J Cao, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid proliferation of smart vehicles along with the advent of powerful applications bring
stringent requirements on massive content delivery. Although vehicular edge caching can …
stringent requirements on massive content delivery. Although vehicular edge caching can …
Computation offloading for edge-assisted federated learning
When applying machine learning techniques to the Internet of things, aggregating massive
amount of data seriously reduce the system efficiency. To tackle this challenge, a distributed …
amount of data seriously reduce the system efficiency. To tackle this challenge, a distributed …
Reconfigurable intelligent surface assisted mobile edge computing with heterogeneous learning tasks
The ever-growing popularity and rapid development of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …
When machine learning meets network management and orchestration in Edge-based networking paradigms
A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …
decade and related challenges like Big Data and data processing delay, new paradigms …
Unmanned-aerial-vehicle-aided integrated sensing and computation with mobile-edge computing
Integrated sensing and communication (ISAC), which enables the joint radar sensing and
data communications, shows its great potential in many intelligent applications. In this …
data communications, shows its great potential in many intelligent applications. In this …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …