Abstract
The Internet of Things (IoT) will shortly be undergoing
a major transformation from a sensor-driven paradigm
to one that is heavily complemented by actuators, drones and
robots. The real-time situational awareness of such active systems
requires sensed data to be transmitted in the uplink to edge-cloud,
processed and control instructions transmitted in the downlink.
Since many of these applications will be mission critical, the most
suitable connectivity family will be cellular due to the availability
of licensed spectrum able to protect the offered communications
service. However, while much focus in the past was on the
uplink of machine-type communications (MTC), little attention
has been paid to the end-to-end reliability, latency and energy
consumption comprising both up and downlinks. To address
this gap, in this paper we focus on the definition, design and
analysis of machine-type multicast service (MtMS). We discuss
the different procedures that need to be re-designed for MtMS
and we derive the most appropriate design drivers by analyzing
different performance indicators such as scalability, reliability,
latency and energy consumption. We also discuss the open issues
to be considered in future research aimed at enhancing the
capabilities of MtMS to support a wide variety of 5G IoT use
cases.
a major transformation from a sensor-driven paradigm
to one that is heavily complemented by actuators, drones and
robots. The real-time situational awareness of such active systems
requires sensed data to be transmitted in the uplink to edge-cloud,
processed and control instructions transmitted in the downlink.
Since many of these applications will be mission critical, the most
suitable connectivity family will be cellular due to the availability
of licensed spectrum able to protect the offered communications
service. However, while much focus in the past was on the
uplink of machine-type communications (MTC), little attention
has been paid to the end-to-end reliability, latency and energy
consumption comprising both up and downlinks. To address
this gap, in this paper we focus on the definition, design and
analysis of machine-type multicast service (MtMS). We discuss
the different procedures that need to be re-designed for MtMS
and we derive the most appropriate design drivers by analyzing
different performance indicators such as scalability, reliability,
latency and energy consumption. We also discuss the open issues
to be considered in future research aimed at enhancing the
capabilities of MtMS to support a wide variety of 5G IoT use
cases.
| Original language | English |
|---|---|
| Pages (from-to) | 5555 - 5569 |
| Number of pages | 14 |
| Journal | IEEE Access |
| Volume | 4 |
| DOIs | |
| Publication status | E-pub ahead of print - 26 May 2016 |
