Industrial wireless communications over the millimeter wave spectrum: opportunities and challenges

The large bandwidth available at the mmWave spectrum can open the way for a wide variety of new industrial automation capabilities. With the use of wireless smart cameras and vision technologies, applications such as remote visual monitoring and surveillance, intelligent logistics product tracking, image guided automated assembly, and fault detection can be realized. Vision capabilities can enable robots, machines, and other industrial automation systems to meaningfully interact with objects and safely navigate through their surroundings. Allowing them to adapt to changing manufacturing-line conditions opens a wide range of new industrial automation applications. In this article, we discuss the opportunities, challenges, and design principles of industrial wireless communication over the mmWave spectrum. Open research issues are identified and discussed. In addition, performance analysis of mmWave industrial systems with respect to channel capacity is conducted using a realistic physical-statistical-based channel model.

[1]  Michael Cheffena Industrial indoor multipath propagation — A physical-statistical approach , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[2]  Robert W. Heath,et al.  MIMO Precoding and Combining Solutions for Millimeter-Wave Systems , 2014, IEEE Communications Magazine.

[3]  Jin-Shyan Lee,et al.  Applications of Short-Range Wireless Technologies to Industrial Automation: A ZigBee Approach , 2009, 2009 Fifth Advanced International Conference on Telecommunications.

[4]  Carlo Fischione,et al.  Communication infrastructures in industrial automation: The case of 60 GHz millimeterWave communications , 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

[5]  Michael Cheffena,et al.  Industrial wireless sensor networks: channel modeling and performance evaluation , 2012, EURASIP Journal on Wireless Communications and Networking.

[6]  D. Gaillot,et al.  Experimental Analysis of Dense Multipath Components in an Industrial Environment , 2014, IEEE Transactions on Antennas and Propagation.

[7]  Katia Obraczka,et al.  Wireless Smart Camera Networks for the Surveillance of Public Spaces , 2014, Computer.

[8]  Theodore S. Rappaport,et al.  Broadband Millimeter-Wave Propagation Measurements and Models Using Adaptive-Beam Antennas for Outdoor Urban Cellular Communications , 2013, IEEE Transactions on Antennas and Propagation.

[9]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[10]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[11]  Robert W. Heath,et al.  Coverage and Rate Analysis for Millimeter-Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[12]  Simon R. Saunders,et al.  Antennas and Propagation for Wireless Communication Systems , 1999 .

[13]  Luc Martens,et al.  The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz , 2008, IEEE Transactions on Wireless Communications.

[14]  Lars Thiele,et al.  Capacity Measurements in a Cooperative MIMO Network , 2009, IEEE Transactions on Vehicular Technology.

[15]  Theodore S. Rappaport,et al.  72 GHz millimeter wave indoor measurements for wireless and backhaul communications , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).