Toward Massive Machine Type Cellular Communications

• Published in: IEEE wireless communications Vol. 24; no. 1; pp. 120 - 128
• Main Authors: Dawy, Zaher, Saad, Walid, Ghosh, Arunabha, Andrews, Jeffrey G., Yaacoub, Elias
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3GPP; Cellular communication; Cellular networks; Complexity theory; Devices; Downlink; Economic analysis; Economic models; Energy efficiency; Machine-to-machine communications; Measuring instruments; Mobile computing; Sensors; Tracking devices; Uplink; Wireless networks
• ISSN: 1536-1284; 1558-0687
• DOI: 10.1109/MWC.2016.1500284WC

Cellular networks have been engineered and optimized to carrying ever-increasing amounts of mobile data, but over the last few years, a new class of applications based on machine-centric communications has begun to emerge. Automated devices such as sensors, tracking devices, and meters, often referred to as machine-to-machine (M2M) or machine-type communications (MTC), introduce an attractive revenue stream for mobile network operators, if a massive number of them can be efficiently supported. The novel technical challenges posed by MTC applications include increased overhead and control signaling as well as diverse application-specific constraints such as ultra-low complexity, extreme energy efficiency, critical timing, and continuous data intensive uploading. This article explains the new requirements and challenges that large-scale MTC applications introduce, and provides a survey of key techniques for overcoming them. We focus on the potential of 4.5G and 5G networks to serve both the high data rate needs of conventional human-type communication (HTC) subscribers and the forecasted billions of new MTC devices. We also opine on attractive economic models that will enable this new class of cellular subscribers to grow to its full potential.