This study presents MCORA-V2X, a conditionally-enhanced Multi-Agent Proximal Policy Optimization (MAPPO) framework for computation offloading and resource allocation in V2X networks that outperforms existing offloading schemes in raw episode reward, running average reward, average task delay, throughput, task drop rate...
Muhammad Imran, Md. Noor-A-Rahim, Xu Zhu· IEEE Open Journal of the Com...· 0 citations
A Head-of-Line (HoL) Enhanced Hybrid Lyapunov scheduler for 5G-TSN networks that augments a drift-plus-penalty queue-stability core with an explicit head-of-line delay term and a class-isolation mechanism to position Lyapunov-based scheduling as an attractive overload-robustness mechanism for industrial 5G deployments...
Kouros Zanbouri, Md. Noor-A-Rahim, C. Sreenan et al.· 0 citations
A comprehensive and structured review of methods for MACNs, with particular emphasis on AI-driven solutions and their relationship to classical and hybrid alternatives, and offers insights into the design of AI-driven MACNs that are efficient, scalable, and adaptive to evolving network and service demands.
Shafkat Khan Siam, Muhammad Yeasir Arafat, Muhammad Morshed Alam et al.· Artificial Intelligence Revi...· 0 citations
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