… resource allocation problem, in terms of power and blocklength optimization, for a general
multi-device downlink URLLC … A machine learning (ML) approach was used to model the user …

… in URLLC and how frequently the model should be retrained. From the resource allocation
… minor changes regarding traffic scheduling and resource allocation. There is a paucity of …

… In this section, we provide an intelligent deep SARSA-λ based reliable resource allocation
algorithm, which assists the BS for minimizing the long-term error probability of uplink NOMA-…

… allocation and power control method to support massive access for non-orthogonal multiple
access aided URLLC (NOMAURLLC) … reliable reinforcement learning for resource allocation …

… anchor node (AN) uses the radio resource utilization information (RRUI) from the vehicle in
… to assist resource allocation. Subsequently, we study the radio resource allocation model …

… was utilized to solve the proposed resource allocation problem. However, several drawbacks
are … Motivated by the compelling works on resource allocation via DRL methods in RIS …

… the roundtrip URLLC in mobile edge … learning, where the machine learning models are
deployed at the UAV for remote control. To our best knowledge, the problem of round-trip URLLC …

… In this paper, we studied the resource allocation for uplink CF mMIMO systems to support
URLLC in a smart factory. The closed-form LB data rates with imperfect CSI for bo…

… Given that one of our goals is to optimize fairness allocation of resources among eMBB
and URLLC users, we plot the curves of Jain’s fairness index among eMBB users and among …

… In particular, urban areas introduce challenging requirements in terms of throughput, latency,
and reliability to enhance the performance of the new use cases related to eMBB, uRLLC …