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A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges
This survey provides a comprehensive analysis of the integration of Reconfigurable
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
[HTML][HTML] DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks
The increasing complexity of modern automotive applications presents difficulties when
running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge …
running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge …
[HTML][HTML] Deep reinforcement learning approach for multi-hop task offloading in vehicular edge computing
Abstract The rise of Vehicular Edge Computing (VEC) has gained attention for its ability to
alleviate backhaul network load and provide ultra-low latency. In meeting the escalating …
alleviate backhaul network load and provide ultra-low latency. In meeting the escalating …
Towards Optimal Resource Allocation: A Multi-agent DRL based Task Offloading Approach in Multi-UAV-Assisted MEC Networks
The application of UAV-aided MEC well-suited for the execution of the data-intensive and
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …
Optimizing vehicular edge computing: graph-based double-DQN approaches for intelligent task offloading
In vehicular edge computing, optimizing task offloading is crucial to balance computational
needs, reduce delays, and cut costs amid the dynamic challenges of the vehicular …
needs, reduce delays, and cut costs amid the dynamic challenges of the vehicular …
[PDF][PDF] Towards Optimal Resource Allocation: A Multi-agent DRL based Task Offloading Approach in Multi-UAV-Assisted MEC Networks
S MEMON - researchgate.net
The application of UAV-aided MEC well-suited for the execution of the data-intensive and
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …