5G and IoT Integration: Optimizing Connectivity for Massive Machine-Type Communication (mMTC)

Ananya M Patil, Akhila Jaya, Tanuja Tondikatti, Janvi Chinchansur, Sandeep Kulkarni, Vijayalakshmi M

2025

Abstract

Future wireless cellular networks are expected to not only improve broadband access for human-centric ap plications but also enable massive connectivity for tens of billions of devices. Internet of things(IoT) devices are central to realizing the massive machine-type communication(mMTC) in 5G. It is expected to handle bil lions of IoT devices in mMTC. This research focuses on optimizing connectivity and resource allocation for IoT devices in 5G networks to ensure scalability and efficiency, particularly in smart cities, healthcare, and industrial IoT applications. This study proposes a predictive resource demand model combined with dynamic network slicing to optimize connectivity and resource allocation in 5G networks. Using an ensemble of Long Short-Term Memory (LSTM) models, resource demands are forecasted, and tailored slices are deployed to meet the specific needs of IoT applications. Simulation results demonstrate that the proposed approach re duces latency and improves throughput compared to traditional resource allocation methods. Furthermore, the prediction model achieved an accuracy of 96.15% for latency estimation and 81.14% for bandwidth forecast ing, highlighting the effectiveness of the approach. This research provides a scalable and efficient framework for IoT connectivity in 5G networks, paving the way for enhanced performance in critical applications like smart cities and healthcare.

Paper Citation

in Harvard Style

Patil A., Jaya A., Tondikatti T., Chinchansur J., Kulkarni S. and M V. (2025). 5G and IoT Integration: Optimizing Connectivity for Massive Machine-Type Communication (mMTC). In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 574-580. DOI: 10.5220/0013632500004664

in Bibtex Style

@conference{incoft25,
author={Ananya Patil and Akhila Jaya and Tanuja Tondikatti and Janvi Chinchansur and Sandeep Kulkarni and Vijayalakshmi M},
title={5G and IoT Integration: Optimizing Connectivity for Massive Machine-Type Communication (mMTC)},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={574-580},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013632500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - 5G and IoT Integration: Optimizing Connectivity for Massive Machine-Type Communication (mMTC)
SN - 978-989-758-763-4
AU - Patil A.
AU - Jaya A.
AU - Tondikatti T.
AU - Chinchansur J.
AU - Kulkarni S.
AU - M V.
PY - 2025
SP - 574
EP - 580
DO - 10.5220/0013632500004664
PB - SciTePress