Applying Device-to-Device Communication to Enhance IoT Services

TL;DR

This paper proposes a network-controlled device-to-device communication scheme for cellular networks to better support massive IoT deployments, improving service availability and battery life of IoT devices through context-aware algorithms and signaling strategies.

Contribution

It introduces a novel sidelink communication scheme with context-aware algorithms and signaling methods to enhance mMTC support in cellular networks, addressing legacy limitations.

Findings

Enhanced service availability for IoT devices

Improved battery life of sensors

Demonstrated via system-level simulation

Abstract

Massive Machine Type Communication (mMTC) to serve billions of IoT devices is considered to open a potential new market for the next generation cellular network. Legacy cellular networks cannot meet the requirements of emerging mMTC applications, since they were designed for human-driven services. In order to provide supports for mMTC services, current research and standardization work focus on the improvement and adaptation of legacy networks. However, these solutions face challenges to enhance the service availability and improve the battery life of mMTC devices simultaneously. In this article, we propose to exploit a network controlled sidelink communication scheme to enable cellular network with better support for mMTC services. Moreover, a context-aware algorithm is applied to ensure the efficiency of the proposed scheme and multiple context information of devices are taken into account. Correspondingly, signaling schemes are also designed and illustrated in this work to facilitate the proposed technology. The signaling schemes enable the network to collect required context information with light signaling effort and thus network can derive a smart configuration for both the sidelink and cellular link. In order to demonstrate the improvements brought by our scheme, a system-level simulator is implemented and numerical results show that our scheme can simultaneously enhance both the service availability and battery life of sensors.