… Apart from the non-scheduled URLLC traffic, we also need to serve scheduled URLLC traffic,
which is not necessarily of short payload size [3, 10]. The resource allocation to this traffic …

… In this paper, we address the coexistence problem of URLLC … URLLC users’ latency and
reliability by designing a multi-agent Q-learning algorithm for joint power and resource allocation…

… allocation, where the reward feedback is based … resource sharing in NOMA-URLLC networks:
1) user clustering; 2) Instantaneous feedback system; and 3) Optimal resource allocation. …

… In this paper, we optimize the resource allocation and scheduling process of URLLC … coding
of the URLLC traffic. In addition, we propose a deep supervised learning approach to predict …

… uses a reinforcement learning-… resource allocation to multiplex URLLC and eMBB
traffic on a 5G-NR time-frequency grid. The proposed algorithm is based on a multi-agent Q-learning …

… We propose a two-phase-framework, including eMBB resource allocation and URLLC … we
discuss the convergence of the URLLC outage probability during the learning process in Fig. 9…

… (URLLC) is one of the promising services offered by fifth-generation technology for an industrial
wireless network. Moreover, reinforcement learning is … of the network resource allocation. …

… on machine learning and fountain codes, in a bid to cope with the scarcity of existing cellular
spectrum and the stringent requirements of URLLC. … , and wireless resource allocation. …

… a heuristic resource allocation policy presented in Algorithm 1. Therein, RSUs orthogonally
allocate RBs among VUEs with the priority towards URLLC and the remaining resources are …

… optimizing resource allocation with flexible numerology in both frequency and time domains,
and illuminated advantages for capacity enhancement and satisfaction of uRLLC service …