A Method of QoS Constrained Semi-Persistent Scheduling of Machine Type Communications in Cellular Networks

Abstract/Technology Overview

One of the major challenges posed within the machine-to-machine (M2M) communication paradigm is the capability to scale to a larger number of connected devices and to provide ultra-low delay communications in order to meet coveted requirements for Internet of Things (IoT). Almost all existing M2M applications are based on GPRS, however, the limited capacity of GPRS cannot support a large number of M2M devices expected to be deployed in the near future. Moreover, dedicated M2M cellular architectures can only support very low throughput. Thus, exploiting existing LTE infrastructure and providing native support in 5G for fast-growing M2M services are of paramount importance.

Our invention offers scheduling of machine-type communications (MTC), specifically machine-to-machine (M2M) communications in a cellular network setting. It ensures certain levels of Quality of Service (QoS) for devices with limited radio resources through efficient allocation. Effective management of said network resources having been based on the principle of serving as many devices as possible with the frequency resources available. This invention offers compatibility with LTE and post-LTE (5G) networks.

Technology Features, Specifications and Advantages

This technology offers a semi-persistent scheduling (SPS) scheme that works with current LTE and 5G networks to make efficient use of the available network resources with the aim of achieving fair allocation and conforming to the given QoS requirements at the same time. This is achieved through the exploitation of the periodicity, reducing the overhead of the signaling required for connection initiation and scheduling. Furthermore, it offers effective management for the admission of new devices to the network with a call admission mechanism to serving as many devices as possible.

Potential Applications

Machine-to-Machine (M2M) Connections market size maintains the average annual growth rate of 4.69% from $18300 million in 2014 to $21000 million in 2017, The analysts believe that in the next few years, Machine-to-Machine (M2M) Connections market size will be further expanded. We expect that by 2022, The market size of the Machine-to-Machine (M2M) Connections will reach $26405 million. 

Typical applications include: 

  • Data conveyance among machines within cellular networks and traffic existent whereby, namely machine-to-machine (M2M) communication(s)
  • Networked homes, healthcare and transportation

Customer Benefit

This technology offers a fair and efficient allocation of time and frequency resources; admission of new devices into the network to serve the maximum amount of devices/machines as possible.

Contact Person

Pelin Gundogdu


Koç University

Technology Category
  • Internet of Things & Wearable Technology
  • Operating Systems
Technology Status
  • Available for Licensing
Technology Readiness Level
  • TRL 4

M2M connections, IoT, QoS Constrained Semi-Persistent Scheduling