… ’ energy shortage in edge computing networks, a computing taskoffloading and resource … trajectory, calculation frequency of users, taskoffloading ratio, the transmission power of the …
… Edge Computing (MEC) system, a partial taskoffloading framework supported by Reconfigurable Intelligent … of users, the offloading rate of users, the amount of offloadingtask of users, …
… Toward mobility- aware computation offloading and resource allocation in end… Dependent taskoffloading for edge computing based on deep reinforcement learning[J]. IEEE …
… A distributed heterogeneous taskoffloading methodology for mobile edge computing[J]. Journal of Electronics &Information Technology, 2020, 42(12): 2891–2898. doi: 10.11999/…
… application of edge computing: edgeintelligent computing is … Toward direct edge-to-edge transfer learning for IoT-enabled … Dependent taskoffloading and resource allocation based on …
… Based on deep reinforcement learning,we propose a taskoffload scheduling and resource … In the case of multiuser and multi-taskoffloading in mobile edge computing network, the …
… The Mobile Edge Computing (MEC) can effectively solve the … taskoffload under the same channel resource conditions. In this paper, considering the multiple aspects of taskoffloading …
… Resource allocation and taskoffloading strategy in mobile edge computing system for task migration[J]. Telecommunication Engineering, 2022, 62(8): 1037–1043. doi: 10.3969/j.issn. …
… moves toward supporting a broader toB vertical industry, it will face a more complex and … applied to the problem of computing taskoffloading in the IoV By applying edgeintelligence …