Performance Evaluation of 5G Radio Configurations for Industry 4.0

The future Radio Access Network (RAN) is being engineered to accommodate the emergence of Ultra Reliable Low Latency Communications (URLLC) and to handle the possible coexistence between URLLC and enhanced Mobile Broad Band (eMBB) services. To achieve this, new features are being implemented in the future RAN to fulfill the strict requirements of the URLLC traffic in terms of latency and reliability. In this paper, we exploit the radio frame features in the New Radio (NR) and evaluate the users’ performances in Downlink (DL) scheme. We conduct extensive system level simulations in realistic network deployment considering the Industry 4.0 use case. We study the impact of 1) different radio configurations and 2) the dedication of a reserved bandwidth to the critical traffic, on the URLLC achieved user plane latency and packet loss probability. The coexistence of URLLC and eMBB traffic is also evaluated by measuring the eMBB users’ throughput.

[1]  Salah-Eddine Elayoubi,et al.  URLLC User Plane Latency Performance in New Radio , 2018, 2018 25th International Conference on Telecommunications (ICT).

[2]  Hanwen Cao,et al.  Use Cases, Requirements and Challenges of 5G Communication for Industrial Automation , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[3]  Malek Messai,et al.  Periodic Radio Resource Allocation to Meet Latency and Reliability Requirements in 5G Networks , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[4]  James Gross,et al.  From Radio Design to System Evaluations for Ultra-Reliable and Low-Latency Communication , 2017 .

[5]  Junaid Ansari,et al.  Ultra-reliable and low-latency communication for wireless factory automation: From LTE to 5G , 2016, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).

[6]  Gilberto Berardinelli,et al.  System Level Analysis of Uplink Grant-Free Transmission for URLLC , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

[7]  Gustavo de Veciana,et al.  Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks , 2018, IEEE Journal on Selected Areas in Communications.

[8]  Preben E. Mogensen,et al.  MAC layer enhancements for ultra-reliable low-latency communications in cellular networks , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).

[9]  Petar Popovski,et al.  Network Slicing for Ultra-Reliable Low Latency Communication in Industry 4.0 Scenarios , 2017, ArXiv.

[10]  Lars Thiele,et al.  Wireless Communication for Factory Automation: an opportunity for LTE and 5G systems , 2016, IEEE Communications Magazine.

[11]  Charbel Abdel Nour Enhanced Turbo Codes for NR: Performance Evaluation , 2016 .

[12]  Wanshi Chen,et al.  5G ultra-reliable and low-latency systems design , 2017, 2017 European Conference on Networks and Communications (EuCNC).

[13]  Klaus I. Pedersen,et al.  Preemptive Scheduling of Latency Critical Traffic and Its Impact on Mobile Broadband Performance , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[14]  Erik G. Ström,et al.  Ultra-Reliable Low-Latency Communication (URLLC): Principles and Building Blocks , 2017, ArXiv.

[15]  Branka Vucetic,et al.  Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches , 2017, IEEE Communications Magazine.

[16]  Klaus I. Pedersen,et al.  Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks , 2018, IEEE Access.