Autonomous driving paper index
MLHP: A Multi-Level Handoff Prioritization Framework for Service Differentiation in Buffered Systems
One-line summary
In modern wireless networks, efficient handoff strategies are crucial for several services with various Quality of Service (QoS) requirements.
Engineering notes
Simulation results reveal that MLHP significantly outperforms both traditional Non-Prioritized Buffered Handoff (NPBH) and Dynamic Queue Management (DQM) schemes. Key findings indicate that MLHP maintains a low dropping probability of approximately 6% under high handoff frequencies and achieves an aggregate throughput exceeding 44 Mbps during high mobility scenarios, while successfully maintaining sub-10 ms delays specifically for mission-critical URLLC traffic.
Chinese explanation / 中文解读
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Original abstract
In modern wireless networks, efficient handoff strategies are crucial for several services with various Quality of Service (QoS) requirements. However, a significant research gap exists as most current handoff techniques treat all internet traffic uniformly, leading to performance degradation, latency, and glitches for time-sensitive applications like Ultra-Reliable Low Latency Communication (URLLC) during network transitions. To address this, the main objective of this study was to develop the Multi-Level Handoff Prioritization (MLHP) framework specifically for buffered handoff setups. The MLHP system integrates three core components: a multi-level service classifier, a dedicated buffering architecture with dynamic thresholds, and a hybrid scheduling mechanism combining Strict Priority and Weighted Fair Queuing. Simulation results reveal that MLHP significantly outperforms both traditional Non-Prioritized Buffered Handoff (NPBH) and Dynamic Queue Management (DQM) schemes. Key findings indicate that MLHP maintains a low dropping probability of approximately 6% under high handoff frequencies and achieves an aggregate throughput exceeding 44 Mbps during high mobility scenarios, while successfully maintaining sub-10 ms delays specifically for mission-critical URLLC traffic. The broader implications of this study suggest that MLHP provides a scalable and flexible solution for handoff management, effectively meeting the stringent requirements of 5G-and-beyond networks. By ensuring granular service differentiation, the framework enhances overall network reliability and user experience in increasingly heterogeneous mobile environments.
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