Receding-Horizon Alternating Optimization (RHAO), a four-block per-slot algorithm that decomposes the problem into: charging admission via the Hungarian algorithm, MUAV trajectory and time-split via successive convex approximation, CUAV rendezvous, and WPT power allocation, with monotone convergence guarantees, is prop...
Masoud Shokrnezhad, T. Taleb, Amir Javadpour· 0 citations
The transition toward semantic-aware communication offers a paradigm shift for next-generation mobile networks, promising to decouple information significance from raw data transmission. Despite advances in semantic extraction, the integration of semantic intelligence into the Medium Access Control (MAC) layer remains...
Hamidreza Mazandarani, Masoud Shokrnezhad, T. Taleb· IEEE Transactions on Network...· 0 citations
Time-Window-Based Efficient Initial Mapping for Software-Defined Networks (TW-EIMSDN), an online VNE framework that separates immediate admission and initial embedding from deferred, gain-thresholded rule rewriting, is presented.
Amir Javadpour, Forough, Tarik Ja'fari et al.· 0 citations
A predictive multi-agent Reinforcement Learning (RL) framework that proactively maintains SLA stability in UAV-enabled MEC through coordinated trajectory control and computation resource allocation and designs an SLA-aware reward function that explicitly penalizes both violation probability and duration across slices.
M. Farhoudi, Zeinab Sasan, Masoud Shokrnezhad et al.· 0 citations
A compact reasoning model trained with verifier-based self-verification and periodically refined online via shadow updates is deployed, showing manageable, near-linear control-plane overhead as domains scale and during domain joins, and robust decision quality, including recovery after objective changes.
Masoud Shokrnezhad, T. Taleb· IEEE Network· 0 citations
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