R Dangi, P Lalwani - The Journal of Supercomputing, 2024 - Springer
21 天前 - … of 6G networks is flexible wirelessnetworkslicing. In this … that combines a convolutional neural network (CNN) and a … learning techniques opted to address the network …
22 天前 - … networkslicing, where the physical network can be divided into multiple isolated logical sub-networks … of the present study, entails the need for PLC methods to be applied not …
23 天前 - … )-based network management in conjunction with other enabler technologies, such as networkslicing, virtualization, and MEC (Multi-access Edge Computing), among others. …
X Li, Y Li, Y Li, T Cao, Y Liu - … on Mobile Computing and Networking, 2024 - dl.acm.org
24 天前 - … and kernels, we introduce two approaches of layer slicing with different latency-memory … Driver activity recognition for intelligent vehicles: A deep learningapproach. IEEE …
25 天前 - … In addition, the utilisation of network modelling tools, such as networkslicing, improves the efficiency of resource management and reduces security threats by dividing IoT …
25 天前 - … One of the key concepts in 5G and beyond systems is networkslicing (NS) which … inter-slice and intra-slice resource allocation. Furthermore, we propose methods to address …
30 天前 - … This study adopts a divide-and-conquer strategy to navigate the intricate challenge of … Integrating machine learning algorithms further empowers each networkslice to adopt …
37 天前 - … The paper aims to integrate game theory and machine learning with the network slicing … the use of networkslicing in our scenario, highlighting machine learning techniques for …