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[HTML][HTML] An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …
deployment and standardize the upcoming wireless network generation. Artificial …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
Multi-granularity fusion resource allocation algorithm based on dual-attention deep reinforcement learning and lifelong learning architecture in heterogeneous IIoT
Y Wang, F Shang, J Lei - Information Fusion, 2023 - Elsevier
Deep reinforcement learning (DRL) is a promising technology to address the resource
allocation problem for efficient data transmission in complex network environments …
allocation problem for efficient data transmission in complex network environments …
Proactive bandwidth allocation for v2x networks with multi-attentional deep graph learning
The increasing number of connected vehicles exacerbates the scarcity of spectrum
resources in vehicle-to-everything (V2X) communication. To optimize the utilization of …
resources in vehicle-to-everything (V2X) communication. To optimize the utilization of …