TY - JOUR
T1 - Comparing Wi-Fi 6 and 5G downlink performance for Industrial IoT
AU - Maldonado, Roberto
AU - Karstensen, Anders
AU - Pocovi, Guillermo
AU - Esswie, Ali
AU - Rosa, Claudio
AU - Alanen, Olli
AU - Kasslin, Mika
AU - Kolding., Troels
N1 - Publisher Copyright:
CCBY
PY - 2021
Y1 - 2021
N2 - The use of wireless communications in Industrial Internet of Things (IIoT) enables unparalleled levels of flexibility and instantaneous reconfiguration for autonomous industrial processes. In this paper, the focus is on optimizing and evaluating Wi-Fi 6 and 5G New Radio (NR) licensed and unlicensed wireless networks for meeting the packet latency and reliability requirements of critical IIoT applications. The study is based on extensive system simulations using a 3GPP-defined IIoT indoor factory framework and application traffic models. Each radio technology is individually optimized leveraging the pros and cons of that technology to maximize the carried load in the network while fulfilling the delay requirements at a specified reliability level of 99.999 %. In addition to a performance comparison, the paper also provides deployment guidance for applying each radio technology in the considered IIoT setting. With proposed latency aware scheduling and when operated in interference free spectrum, Wi-Fi 6 can support <1 ms applications at a very low load, whereas the performance gap with respect to 5G NR reduces as delay requirements are relaxed to 10-100 ms. Conditioned on the fulfilment of the application latency and reliability requirements, unlicensed 5G NR shows nearly 2× the spectral efficiency of Wi-Fi 6 in all available configurations. Licensed 5G NR shows generally the best performance, especially for delay requirement <1 ms, supporting 2-4 × the spectral efficiency achievable by unlicensed technologies.
AB - The use of wireless communications in Industrial Internet of Things (IIoT) enables unparalleled levels of flexibility and instantaneous reconfiguration for autonomous industrial processes. In this paper, the focus is on optimizing and evaluating Wi-Fi 6 and 5G New Radio (NR) licensed and unlicensed wireless networks for meeting the packet latency and reliability requirements of critical IIoT applications. The study is based on extensive system simulations using a 3GPP-defined IIoT indoor factory framework and application traffic models. Each radio technology is individually optimized leveraging the pros and cons of that technology to maximize the carried load in the network while fulfilling the delay requirements at a specified reliability level of 99.999 %. In addition to a performance comparison, the paper also provides deployment guidance for applying each radio technology in the considered IIoT setting. With proposed latency aware scheduling and when operated in interference free spectrum, Wi-Fi 6 can support <1 ms applications at a very low load, whereas the performance gap with respect to 5G NR reduces as delay requirements are relaxed to 10-100 ms. Conditioned on the fulfilment of the application latency and reliability requirements, unlicensed 5G NR shows nearly 2× the spectral efficiency of Wi-Fi 6 in all available configurations. Licensed 5G NR shows generally the best performance, especially for delay requirement <1 ms, supporting 2-4 × the spectral efficiency achievable by unlicensed technologies.
KW - 5G mobile communication
KW - 5G New Radio licensed and unlicensed
KW - Delays
KW - IEEE 802.11ax Standard
KW - Industrial Internet of Things
KW - Industrial wireless communications
KW - Production facilities
KW - Reliability
KW - Wi-Fi 6
KW - Wireless fidelity
UR - http://www.scopus.com/inward/record.url?scp=85107387590&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3085896
DO - 10.1109/ACCESS.2021.3085896
M3 - Journal article
AN - SCOPUS:85107387590
SN - 2169-3536
VL - 9
SP - 86928
EP - 86937
JO - IEEE Access
JF - IEEE Access
M1 - 9446078
ER -