… the machine learning and artificial intelligence sectors to optimize the … resource allocation
scheme with deep Q-learning to fulfill the QoS requirements of the 5G services, such as URLLC…

… , a deep reinforcement learning based intelligent session management for the open radio
access network is proposed to efficiently allocate the resources for … and resource allocation in …

… Providing ultra-reliable and low-latency communications (URLLC) to special services with
… several fractions and using orthogonal resource allocation among different fractions. These …

… resources. Furthermore, recently proposed solutions to scalable URLLC (eg, machine learning
aided URLLC … need a different approach to resource allocation among network slices for …

… -agent RL-based resource allocation mechanism, where the URLLC and eMBB slices co-…
the URLLC traffic. This is achieved by dynamically adapting the resource allocation according …

… designing machine learning algorithms that solve the problem of link adaptation in URLLC.
… algorithms and it is shown that machine learning approaches perform significantly better than …

… resource allocation schemes according to the needs of basic services and traffic characteristics.
In addition, given that most of the uRLLC … the resource allocation problem of URLLC as …

… In this paper, the resource allocation for a CF mMIMOenabled URLLC dowlink system was
treated. We first derived the closed-form LB data rates with imperfect CSI based on MRT, FZF, …

… Therefore, conventional resource allocation solution based on Shannon … the resource
allocation for massive MIMO providing ultra-reliability and low-latency communications (URLLC) …

… Second, in this article, we derive the optimal resource allocation policy for MISO OFDMA-URLLC
systems, whereas only a sub-optimal algorithm was provided in [1]. The remainder of …