A Mobility-Aware Dynamic TDD Scheduling Framework for 5G NR-Based V2X 


Vol. 14,  No. 7, pp. 516-523, Jul.  2025
https://doi.org/10.3745/TKIPS.2025.14.7.516


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  Abstract

Efficient uplink and downlink resource allocation is critical for low-latency and high-reliability communication in 5G enabled Vehicle-to-Everything (V2X) environments. Traditional Time Division Duplexing (TDD) configurations rely on static or semi-static slot scheduling, which fails to adapt to the rapidly changing mobility and communication demands of vehicular networks. This paper presents a mobility-aware dynamic Time Division Duplexing (TDD) scheduling framework designed to adaptively allocate uplink and downlink (UL/DL) transmission resources in response to real-time traffic dynamics. The proposed framework integrates a lightweight learning-based scheduler with a zone-partitioned urban mobility model, leveraging contextual features such as vehicle density and latency feedback to driving slot allocation decisions. Built on the SUMO mobility simulator and TraCI interface, the system emulates a realistic Manhattan-grid deployment and supports fine-grained UL/DL scheduling across dynamically changing zones. Comparative evaluations against load-based and latency-aware baselines demonstrate significant improvements in uplink latency and delivery reliability. The results confirm that the proposed framework meets stringent URLLC requirements while maintaining scalability and real-time feasibility for next-generation urban V2X deployments.

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  Cite this article

[IEEE Style]

M. Muhammad and K. Ko, "A Mobility-Aware Dynamic TDD Scheduling Framework for 5G NR-Based V2X," The Transactions of the Korea Information Processing Society, vol. 14, no. 7, pp. 516-523, 2025. DOI: https://doi.org/10.3745/TKIPS.2025.14.7.516.

[ACM Style]

Muneeb Muhammad and Kwang-Man Ko. 2025. A Mobility-Aware Dynamic TDD Scheduling Framework for 5G NR-Based V2X. The Transactions of the Korea Information Processing Society, 14, 7, (2025), 516-523. DOI: https://doi.org/10.3745/TKIPS.2025.14.7.516.