… edge can incorporate heterogeneous resources … edge intelligence empowered 5G beyond
network by jointly optimizing computation offloading and scheduling the distributed resources…

… In this article, we consider a two-level resource allocation … resource allocation and incentive
design framework for the HFL. The “Edge for AI” [15] approach supports decentralized Edge …

… design for multiuser edge intelligence, in this article, we focus on the computational resource
allocation of the edge server, which would be the key bottleneck resource for supporting …

… ) and resource allocation (on local CPU frequencies, uplink bandwidth, and edge CPU …
expressions to calculate the optimal resource allocation decisions with low complexity. This …

… edge intelligence, we jointly optimize the offloading decision-making and transmission resource
allocation … of our proposed IIoT system enhanced by edge intelligence. In Section IV, we …

… In this letter, we study the optimal resource allocation problem for joint AI model training and
task inference in a multi-user EI system. In particular, we consider that the system conducts …

… , including multiarmed bandit (MAB) theory, multiagent learning, and deep Q-network (DQN),
is playing a growing and important role in resource allocation problems for the edge. …

… Moreover, we define the resource allocation problem about multiple remote radio heads …
algorithm based resource allocation algorithm is used to optimize resource allocation. The …

… delay of a single edge cloud and ensure datatransmission efficiency, we define a traffic-adaptive
resourceallocation mechanism within an edge cell. We dynamically allocate a sub-…

… Experiments show that, in the edge computing context, our method can reduce the complexity
of resource allocation toward complex data and improve the quality of the allocated data. …