Reliability and availability enhancements of the 5G connectivity for factory automation

Farah Salah, Lauri Kuru, Riku Jantti

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Ultra-reliable low-latency communication (URLLC) differentiates the fifth generation mobile network (5G) by allowing it to natively address the needs of mission-critical machine type communication, thereby enabling a wide range of use cases. This work selects industrial automation as a target use case for very strict URLLC requirements. By means of simulation, we study how reliability and availability of the 5G connectivity can be improved using multiple transmission/reception points (TRxPs) in an interference limited scenario. A factory scenario with mobile robots connected via a 5G network with two indoor cells is selected, as mobility is one of the main drivers of the need for wireless connectivity, and is also a major challenge to reliability. The results indicate that differences in design alternatives have a significant impact. It is evident that the best design choices for the TRxPs in a given factory significantly enhance communication service reliability and availability, even when no retransmissions are allowed due to very tight latency requirements. The solution can additionally increase capacity in terms of the number of mobile robots supported in the factory, for a desired level of reliability. We conclude that first, the number of TRxPs that simultaneously transmit to a user (referred to as a cluster) cannot be increased indefinitely, as this could increase interference and worsen signal-to-interference-and-noise ratio (SINR). We observe that increasing the number of TRxPs deployed in a cell, while keeping the cluster size small, has a positive effect. Finally, we demonstrate that the positioning of the TRxPs around the factory plays an import role. The best observed design choice is to place many TRxPs around each cell, with only one or two TRxPs transmitting simultaneously to a user. Placing the TRxPs at a large distance from each other increases spatial diversity and the likelihood of improving the received signal, and distancing the TRxPs of one cell from the other cell's TRxPs limits interference.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
Number of pages6
ISBN (Electronic)9781728129273
Publication statusPublished - 1 Jul 2019
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Industrial Informatics - Aalto University, Helsinki-Espoo, Finland
Duration: 22 Jul 201925 Jul 2019
Conference number: 17

Publication series

NameIEEE International Conference on Industrial Informatics
ISSN (Print)1935-4576
ISSN (Electronic)2378-363X


ConferenceIEEE International Conference on Industrial Informatics
Abbreviated titleINDIN
Internet address


  • 5G
  • Factory Automation
  • Mobile Robots
  • Multiple TRxPs
  • Spatial Diversity Gains


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