… Considering the dynamics and continuity of task generation, we propose a deep reinforcement
learningbased dynamic resource management (DDRM) algorithm to solve the formulated …

… (2) Lack of continuity; in a highly time-varying MEC system, most existing resource allocation
… a large number of UMDs they cover. With this solution, the network and computing …

… highly dynamic and complex with very large state and action spaces, a DC-MA-DDQN algorithm
is proposed to quickly learn the optimized intelligent resource management … continuity. …

… Considering the continuity of task generation, we set a buffer … Each pico base-station has
a coverage range of 50 m and … computation offloading and resource allocation for MEC,” in …

… As the agent learns new situations, it generalizes its learning to cover all such cases and …
key performance indicators (KPIs) for service continuity, whose minimum required values are …

… spectral continuity or … reinforcement learning approach applied for the first time in the
literature to solve the routing, modulation format, spectrum, and core allocation problem in dynamic …

… Motivated by the highly dynamic nature of IoVs coupled with their … higher coverage, thus
ensuring control continuity of areas … , “Deep reinforcement learning based resource allocation for …

… to resolve the resource management of Cloud computing. Among … Figure 1 shows a resource
management and task allocation … to the Cloud center through the high-speed networks; The …

… been done to consider the limited coverage of the edge server and … Due to the continuity of
user service, the dynamics … [25] formulated the resource allocation problem in vehicular cloud …

… mechanisms to ensure the service continuity. With respect to the … -learning architecture
applicable to the SDN-based WLAN … are deployed to enhance coverage areas. Therefore, in SDN-…