TY - GEN
T1 - Analysis of Outage Latency and Throughput Performance in Industrial Factory 5G TDD Deployments
AU - Esswie, Ali Abdelmawgood Ali Ali
AU - Pedersen, Klaus Ingemann
PY - 2021
Y1 - 2021
N2 - The fifth generation (5G) new radio supports a diversity of network deployments. The industrial factory (InF) wireless automation use cases are emerging and drawing an increasing attention of the 5G new radio standardization groups. Therefore, in this paper, we propose a service-aware time division duplexing (TDD) frame selection framework for multi-traffic deployments. We evaluate the performance of the InF network deployments with the state-of-the-art 3GPP modeling assumptions. In particular, we consider the dynamic TDD mode along with optimized uplink power control settings. Multi-traffic coexistence scenarios are also incorporated such that quality of service (QoS) aware dynamic user scheduling and TDD link selection are introduced. Extensive system level simulations are performed in order to evaluate the performance of the proposed solutions, where the proposed QoS-aware scheme shows 68% URLLC outage latency reduction compared to the QoS-unaware solutions. Finally, the paper offers insightful conclusions and design recommendations on the TDD radio frame selection, uplink power control settings and the best QoS-coexistence practices, in order to achieve a decent URLLC outage latency performance in the state-of-the-art InF deployments.
AB - The fifth generation (5G) new radio supports a diversity of network deployments. The industrial factory (InF) wireless automation use cases are emerging and drawing an increasing attention of the 5G new radio standardization groups. Therefore, in this paper, we propose a service-aware time division duplexing (TDD) frame selection framework for multi-traffic deployments. We evaluate the performance of the InF network deployments with the state-of-the-art 3GPP modeling assumptions. In particular, we consider the dynamic TDD mode along with optimized uplink power control settings. Multi-traffic coexistence scenarios are also incorporated such that quality of service (QoS) aware dynamic user scheduling and TDD link selection are introduced. Extensive system level simulations are performed in order to evaluate the performance of the proposed solutions, where the proposed QoS-aware scheme shows 68% URLLC outage latency reduction compared to the QoS-unaware solutions. Finally, the paper offers insightful conclusions and design recommendations on the TDD radio frame selection, uplink power control settings and the best QoS-coexistence practices, in order to achieve a decent URLLC outage latency performance in the state-of-the-art InF deployments.
KW - 5G
KW - Cross link interference (CLI)
KW - Dynamic TDD
KW - Indoor factory automation (InF)
KW - URLLC
KW - eMBB
UR - http://www.scopus.com/inward/record.url?scp=85112474624&partnerID=8YFLogxK
U2 - 10.1109/VTC2021-Spring51267.2021.9448733
DO - 10.1109/VTC2021-Spring51267.2021.9448733
M3 - Article in proceeding
SN - 978-1-7281-8965-9
T3 - I E E E V T S Vehicular Technology Conference. Proceedings
SP - 1
EP - 6
BT - 2021 IEEE 93rd Vehicular Technology Conference (VTC2021)
PB - IEEE (Institute of Electrical and Electronics Engineers)
T2 - 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Y2 - 25 April 2021 through 28 April 2021
ER -