Ultra Reliable Low Latency Communications In MmWave For Factory Floor Automation

Automation enabled by ultra-reliable and low latency 5G connectivity is expected to transform the industrial landscape over the next decade. Given the spectrum crunch in bands below 6 GHz, there is significant interest in exploring the use of millimeter wave (mmWave) bands for industrial automation. The harsh propagation conditions at high frequencies raise questions about the viability of providing ultra-reliable and low latency connectivity in these bands. Furthermore, the use of analog beamforming with narrow beams implies limited frequency multiplexing opportunity despite the wider bandwidths available, which in turn results in larger waiting times for packet transmission. We study the propagation in a factory floor using ray tracing, which shows that received signal strength is sufficiently large even when the line-of-sight (LoS) signal is blocked. To improve the latency performance, we propose an adaptive beam selection method that chooses the best set of beams across multiple users to reduce the overall latency for all users. We show through simulations that our proposed greedy algorithm performs better than the state-of-the-art algorithm, and that there is more improvement possible.

[1]  Bo Ai,et al.  Ultra-Reliable Communications for Industrial Internet of Things: Design Considerations and Channel Modeling , 2019, IEEE Network.

[2]  Byonghyo Shim,et al.  Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects , 2017, IEEE Wireless Communications.

[3]  Jinfeng Du,et al.  Path Loss and Directional Gain Measurements at 28 GHz for Factory Automation , 2019, 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting.

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

[5]  Sergey Andreev,et al.  Characterization of mmWave Channel Properties at 28 and 60 GHz in Factory Automation Deployments , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Junyuan Wang,et al.  Beam allocation and performance evaluation in switched-beam based massive MIMO systems , 2015, 2015 IEEE International Conference on Communications (ICC).

[7]  Mikko Valkama,et al.  Millimeter-Wave Channel Measurements at 28 GHz in Digital Fabrication Facilities , 2019, 2019 16th International Symposium on Wireless Communication Systems (ISWCS).

[8]  Erik G. Ström,et al.  Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks , 2018, IEEE Network.

[9]  Michael Cheffena,et al.  Industrial wireless communications over the millimeter wave spectrum: opportunities and challenges , 2016, IEEE Communications Magazine.

[10]  Brian W. Kernighan,et al.  WISE design of indoor wireless systems: practical computation and optimization , 1995 .

[11]  Wei Xiang,et al.  Joint Beam and Resource Allocation in 5G mmWave Small Cell Systems , 2019, IEEE Transactions on Vehicular Technology.

[12]  Ines Carton,et al.  Comparison of ray tracing simulations and channel measurements at mmWave bands for indoor scenarios , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[13]  H. Vincent Poor,et al.  Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale , 2018, Proceedings of the IEEE.

[14]  Yonghoon Kim,et al.  Performance comparison of millimeter-wave communications system with different antenna beamwidth , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).

[15]  Jonathan Ling,et al.  Comparisons of a Computer-Based Propagation Prediction Tool with Experimental Data Collected in Urban Microcelluar Environments , 1997, IEEE J. Sel. Areas Commun..

[16]  Harish Viswanathan,et al.  28 GHz and 3.5 GHz Wireless Channels: Fading, Delay and Angular Dispersion , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[17]  Ignas Niemegeers,et al.  Robust 60 GHz Indoor Connectivity: Is It Possible with Reflections? , 2010, 2010 IEEE 71st Vehicular Technology Conference.