OICC Press Majlesi Journal of Electrical Engineering 2345-3796 20 1 2026 03 31 Enhancing IoT Connectivity through Advanced Scheduling at 142 GHz Sub-THz in 5G and Beyond Networks 10.57647/j.mjee.2025.17044 EN Mohammed Mahfooudi Innovative Systems Engineering Laboratory, Abdelmalek Essaadi University, Tetuan, Morocco https://orcid.org/0000-0001-8310-3790 Ismail Angri Telecommunication Systems, Networks and Services (STRS) laboratory,INPT, Rabat, Morocco https://orcid.org/0000-0002-5505-6402 Abdellah Najid Telecommunication Systems, Networks and Services (STRS) laboratory,INPT, Rabat, Morocco Mohammed Fattah Image Laboratory, University of Moulay Ismail, Meknes, Morocco https://orcid.org/0000-0001-6128-9715 Moulhime EL Bekkali Artificial Intelligence, Data Science & Emerging Systems Laboratory, Sidi Mohamed Ben Abdellah University, FES, Morocco Journal Article 2026 03 31 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.