Advanced

Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks

Fitzgerald, Emma LU and Pióro, Michał (2019) International Workshop on Resilient Networks Design and Modelling, RNDM 2019
Abstract (Swedish)
In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. In the average case our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than two pilots per slot, and even in the... (More)
In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. In the average case our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than two pilots per slot, and even in the worst case uses at most eight pilots in any given slot, with delivery guaranteed in less than four slots. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
host publication
International Workshop on Resilient Networks Design and Modelling (RNDM)
pages
7 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
International Workshop on Resilient Networks Design and Modelling, RNDM 2019
conference location
Nicosia, Cyprus
conference dates
2019-10-14 - 2019-10-16
language
Swedish
LU publication?
yes
id
ea5a5fde-87f1-4dab-be7d-9ba9776496e5
date added to LUP
2019-08-14 11:04:37
date last changed
2019-08-20 16:22:56
@inproceedings{ea5a5fde-87f1-4dab-be7d-9ba9776496e5,
  abstract     = {In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. In the average case our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than two pilots per slot, and even in the worst case uses at most eight pilots in any given slot, with delivery guaranteed in less than four slots.},
  author       = {Fitzgerald, Emma and Pióro, Michał},
  language     = {swe},
  location     = {Nicosia, Cyprus},
  pages        = {7},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks},
  year         = {2019},
}