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
- 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:
https://lup.lub.lu.se/record/ea5a5fde-87f1-4dab-be7d-9ba9776496e5
- author
- Fitzgerald, Emma
LU
and Pióro, Michał
- organization
- publishing date
- 2019
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- International Workshop on Resilient Networks Design and Modelling (RNDM)
- article number
- 8949102
- 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
- external identifiers
-
- scopus:85078868254
- ISBN
- 978-172814698-0
- DOI
- 10.1109/RNDM48015.2019.8949102
- project
- E! Celtic-Plus 5G PERFECTA
- ELLIIT LU P01: WP2 Networking solutions
- Cyber Security for Next Generation Factory (SEC4FACTORY)
- language
- English
- LU publication?
- yes
- id
- ea5a5fde-87f1-4dab-be7d-9ba9776496e5
- alternative location
- https://arxiv.org/abs/1909.11482
- date added to LUP
- 2019-08-14 11:04:37
- date last changed
- 2023-04-09 21:58:23
@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}},
booktitle = {{International Workshop on Resilient Networks Design and Modelling (RNDM)}},
isbn = {{978-172814698-0}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks}},
url = {{http://dx.doi.org/10.1109/RNDM48015.2019.8949102}},
doi = {{10.1109/RNDM48015.2019.8949102}},
year = {{2019}},
}