How Will 5G Transform Industrial IoT: Latency and Reliability Analysis

5G technology, with many services it will provide, will serve as an accelerator for the digital transformation of manufacturers. Ultra-reliable low-latency communications (uRLLC) is a new service category in 5G to accommodate emerging services and applications having stringent latency and reliability requirements. The new 5G radio techniques, which will considerably improve the latency and reliability of communications, are indeed keys to meeting the needs of the industrial world. In this paper, we have covered the use of 5G technology through its uRLLC service in the industrial internet world. First, we determined the sufficient bandwidth to serve each uRLLC user who requires very low latency and very high reliability with strict quality of service. Then we defined the latency in the user plane between the base station and each 5G NR (New Radio) user, in case the transmission is successful with or without retransmission (HARQ). According to ITU, controlling devices (such as industrial robots) requires an end to end latency which is significantly less than one millisecond. Considering a massive IoT deployment, every single sensor must be accessed within a stringent end-to-end latency period. Simulations show that the introduction of the mini-slot concept for very short packets in uRLLC allows very short latency times.

[1]  Chen-Shang Chang,et al.  Effective Bandwith in High-Speed Digital Networks , 1995, IEEE J. Sel. Areas Commun..

[2]  Chenyang Yang,et al.  Radio Resource Management for Ultra-Reliable and Low-Latency Communications , 2017, IEEE Communications Magazine.

[3]  Choong Seon Hong,et al.  A Downlink Resource Scheduling Strategy for URLLC Traffic , 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

[4]  Gwanggil Jeon,et al.  Real‐time multiuser scheduling based on end‐user requirement using big data analytics , 2018 .

[5]  Chenyang Yang,et al.  Exploiting Multi-User Diversity for Ultra-Reliable and Low-Latency Communications , 2017, 2017 IEEE Globecom Workshops (GC Wkshps).

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

[7]  Chenyang Yang,et al.  Cross-Layer Optimization for Ultra-Reliable and Low-Latency Radio Access Networks , 2017, IEEE Transactions on Wireless Communications.

[8]  Gwanggil Jeon,et al.  Optimal matching between energy saving and traffic load for mobile multimedia communication , 2018, Concurr. Comput. Pract. Exp..

[9]  H. T. Mouftah,et al.  Exploiting multiuser diversity for OFDMA next generation wireless networks , 2013, 2013 IEEE Symposium on Computers and Communications (ISCC).

[10]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[11]  Petar Popovski,et al.  5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View , 2018, IEEE Access.

[12]  Gwanggil Jeon,et al.  Energy Efficiency Proposal for IoT Call Admission Control in 5G Network , 2019, 2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).