10.57647/j.mjee.2025.17044

Enhancing IoT Connectivity through Advanced Scheduling at 142 GHz Sub-THz in 5G and Beyond Networks

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  • Mohammed Mahfooudi*1,
  • Ismail Angri2,
  • Mohammed Fattah3,
  • Moulhime EL Bekkali4,
  • Abdellah Najid2,
  1. Innovative Systems Engineering Laboratory, Abdelmalek Essaadi University, Tetuan, Morocco
  2. Telecommunication Systems, Networks and Services (STRS) laboratory,INPT, Rabat, Morocco
  3. Image Laboratory, University of Moulay Ismail, Meknes, Morocco
  4. Artificial Intelligence, Data Science & Emerging Systems Laboratory, Sidi Mohamed Ben Abdellah University, FES, Morocco

Published in Issue 2025-07-13

Copyright (c) 2025 Mohammed Mahfooudi, Ismail Angri, Mohammed Fattah, Moulhime EL Bekkali, Abdellah Najid (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Mahfooudi, M., Angri, I., Fattah, M., EL Bekkali, M., & Najid, A. (2025). Enhancing IoT Connectivity through Advanced Scheduling at 142 GHz Sub-THz in 5G and Beyond Networks. Majlesi Journal of Electrical Engineering. https://doi.org/10.57647/j.mjee.2025.17044
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Abstract

5G technology promises to revolutionize how we engage with the digital realm. 5G networks are developed in such a way to answer to the growing needs of various applications, ranging from Enhanced Mobile Broadband applications, through Massive Machine Type Communications, and ending at Ultra-reliable and Low Latency applications. One crucial element of 5G is its capability to interconnect massive Internet of Things equipment, although in this paper we focus on the Massive Machine Type Communications. However, the exponential growth of IoT (Internet of Things) devices has hamstrung existing network infrastructures with a dearth of connectivity links, necessitating innovative approaches to optimize and to manage the increasing demand of high quality connectivity. To tackle these issues, literature research has been undertaken the promise of advanced scheduling techniques that can be adopted by IoT connectivity within 5G networks. To ensure efficient optimization of the existing spectrum resources, the Radio Resource Management (RRM) function, responsible for managing and allocating radio resources like frequency, time, and power to ensure effective optimization of the existing spectrum, through an optimal scheduling algorithm can prioritize resource allocation based on specific requirements for IoT applications, such as latency, reliability, and throughput. Many scheduling algorithms are available with different focuses on performance goals such as delay sensitivity plus reliability or throughput. In this paper, we will introduce the latest developments in scheduling algorithms for 5G-IoT networks and their impact. Next, we propose a new scheduling algorithm aligned with IoT applications need.

Keywords

  • Internet of Things,
  • Fifth Generation (5G) / Sixth Generation (6G),
  • Massive Machine Type Communications,
  • Enhanced Mobile Broadband,
  • Ultra Reliable and Low Latency Communications,
  • Radio Resource Management
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