Service-Aware Resource Scheduling for Heterogeneous ‎M2M Communication in 5G Networks

  • Authors

    • Prashant Kumar Bahetia Department of CSE, Poornima University, Jaipur, India
    • Ajay Khunteta Department of CSE, Poornima University, Jaipur, India
    https://doi.org/10.14419/saqrkp91

    Received date: June 20, 2025

    Accepted date: July 28, 2025

    Published date: August 7, 2025

  • 5G NR; M2M; PRB; QoS; Resource Allocation; Uplink Scheduling

  • Abstract

    Heterogeneous Machine to Machine communication or massive machine type communication in 5G networks presents ‎unique challenges due to diverse device types, service requirements, and scarce radio resources. The work proposes a Service-‎Aware Resource Scheduling (S-RS) scheme to optimize resource allocation while simultaneously considering both resource ‎utilization and cell throughput. S-RS dynamically allocates resource blocks based on a combination of device priority, channel ‎quality, and service type. Simulation results demonstrate optimal improvements compared to proportional fair, priority, and Best-‎CQI methods, achieving optimal resource utilization and cell throughput. Future directions for further research are discussed, ‎including advanced service differentiation. Our findings may lay the groundwork for efficient and adaptable resource allocation for ‎reliable M2M communication in 5G-enabled smart cities or smart homes‎.

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  • How to Cite

    Bahetia, P. K. ., & Khunteta, A. . (2025). Service-Aware Resource Scheduling for Heterogeneous ‎M2M Communication in 5G Networks. International Journal of Basic and Applied Sciences, 14(4), 137-143. https://doi.org/10.14419/saqrkp91