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T. Khan

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#reinforcement learning Open access Sep 2026

Reinforcement learning-assisted time-to-boundary mobility control with selective DAPS for QoS-aware handover in dense HetNets

Results indicate a favorable overall QoS–energy–signaling trade-off for selective risk-aware DAPS activation with hybrid rule-constrained and RL-assisted control within the controlled single-UE 1-D boundary-crossing model.

T. Khan, Taimur Karamat, Mohsan Tanveer et al. · 0 citations
Open access Aug 2026

Hybrid DQN–PPO control for joint queue management and bandwidth allocation under bursty network traffic

A hybrid reinforcement learning (RL) framework that jointly controls queue management and bandwidth allocation in bursty multi-service networks and demonstrates the effectiveness of coordinated learning-based control for stable and QoS-aware operation in bursty networked systems.

T. Khan, Babar Shah, Taimur Karamat et al. · 0 citations

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