Minimizing latency in 5G/6G IoT systems with group admission in ascending and descending directions

A. V. Daraseliya^a, E. S. Sopin^ab, K. E. Samuylov^ab, E. A. Koucheryavy<sup>c

a</sup> Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
^b Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
^c National Research University Higher School of Economics, 20 Myasnitskaya Str., Moscow 101000, Russian Federation

Abstract: Future Cellular Internet of Things (CIoT) 5G/6G technologies are expected to be able to handle various types of traffic with different statistical characteristics, resource requirements, and transmission directions. In order to achieve this, the random access and data transmission phases in these technologies need to be optimized. This study proposes a mathematical model of the service procedure, which takes into account the sequential phases of random access and data transition, and different types of traffic in the uplink and downlink directions. The results show that modern CIoT systems such as NB-IoT (Narrow Band Internet of Things) are not optimized for a wide range of load conditions. Numerical results show that the optimal allocation of resources between the random access and data transmission phases can vary significantly depending on the load in the uplink and downlink directions. The proposed model allows for optimal configuration of the random access and data transition phases in future CIoT systems.

Keywords: 5G, 6G, mMTC, CIoT, random access, latency, stability criterion, resource allocation.

Received: 12.09.2024

DOI: 10.14357/19922264240408