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Supporting massive M2M traffic in the Internet of Things using millimetre wave 5G network

Al-Falahy, NFA; Alani, OYK


NFA Al-Falahy


One of the challenges of Fifth Generation (5G) networks is how to support massive number of wireless devices in
the Internet of Things (IoT). IoT will interconnect billions of
devices under machine-to-machine communication links (M2M). However, this massive connectivity will create burden on the cellular network. Fixed sensors and wearable devices are expected to make the majority of future IoT traffic. And scheduling their huge traffic is the scope of this work. Sensors mobility has been considered with three speed, namely zero speed sensors (fixed), and medium and high speed of 30 and 100kmph, to simulate sensors in vehicles, and model the impact of vehicle
mobility on the M2M links. This work defines the dimensionality in terms of the number of M2M devices that can be successfully connected, the required bandwidth, sensors mobility, and the transmission mode used. The mutual use of multi antennas, dense deployment of small cells, and the adoption of millimetre wave band, particularly in the 28GHz have been considered as the key
enabling technologies to address the massive traffic generated by IoT. An algorithm has been set to schedule this type of traffic and to show whether the M2M devices completed their traffic upload or failed to reach the margin.


Al-Falahy, N., & Alani, O. (2017, September). Supporting massive M2M traffic in the Internet of Things using millimetre wave 5G network. Presented at 9th Computer Science & Electronic Engineering Conference (CEEC), University of Essex, UK

Presentation Conference Type Other
Conference Name 9th Computer Science & Electronic Engineering Conference (CEEC)
Conference Location University of Essex, UK
Start Date Sep 27, 2017
End Date Sep 29, 2017
Acceptance Date Aug 25, 2017
Deposit Date Aug 30, 2017
Publisher URL
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Additional Information Event Type : Conference
Funders : Ministry of Higher Education and Scientific Research, Iraq