Protocol Stack Perspective For Low Latency and Massive Connectivity in Future Cellular Networks

TL;DR

This paper analyzes the protocol stack and computing paradigms to enable low latency and massive connectivity for IoT in future cellular networks, emphasizing resource constraints and data transmission standards.

Contribution

It provides a comprehensive discussion on protocol stack design and computing models tailored for IoT's low latency and connectivity needs in cellular networks.

Findings

Evaluation of Cloud, Fog, and Edge computing for IoT data processing

Analysis of protocol stack requirements for resource-constrained IoT devices

Insights into standardization needs for IoT data transmission

Abstract

With the emergence of Internet-of-Things (IoT) and ever-increasing demand for the newly connected devices, there is a need for more effective storage and processing paradigms to cope with the data generated from these devices. In this study, we have discussed different paradigms for data processing and storage including Cloud, Fog, and Edge computing models and their suitability in integrating with the IoT. Moreover, a detailed discussion on low latency and massive connectivity requirements of future cellular networks in accordance with machine-type communication (MTC) is also presented. Furthermore, the need to bring IoT devices to Internet connectivity and a standardized protocol stack to regulate the data transmission between these devices is also addressed while keeping in view the resource constraint nature of IoT devices.