[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

MA Mirza, J Yu, S Raza, M Krichen, M Ahmed… - Journal of King Saud …, 2023 - Elsevier
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 …

[HTML][HTML] DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks

MA Mirza, J Yu, M Ahmed, S Raza, WU Khan… - Journal of King Saud …, 2023 - Elsevier
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 …

Towards Optimal Resource Allocation: A Multi-agent DRL based Task Offloading Approach in Multi-UAV-Assisted MEC Networks

MN Tariq, J Wang, S Raza, M Siraj, M Altamimi… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

[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 …