5G in Open-Pit Mines: Considerations on Large-Scale Propagation in Sub-6 GHz Bands

5G will play a pivotal role in the digitization of the industrial sector and is expected to make the best use of every bit of spectrum available. In this light, this paper presents the results of an extensive measurement campaign in two iron-ore open-pit mining complexes, at the 700 MHz and 2.6 GHz bands, considering macro and small cell deployments. The study is further motivated by the rise of unmanned machinery in the mining industry. We present values of path loss exponents, shadow fading standard deviations, autocorrelation distances and inter-frequency cross-correlation, which are all useful for the future wireless network design, simulation and performance evaluation. The results show that, in order to comply with ultra-reliable communications (URC) availability requirements, larger shadowing margins will have to be considered in the network planning in open-pit mines, when compared to traditional industrial environments. Furthermore, large cross-correlation between the shadowing in both frequency bands limits the gains when using multi-connectivity in order to enhance overall network availability.

[1]  Henry L. Bertoni,et al.  Coverage prediction for mobile radio systems operating in the 800/900 MHz frequency range , 1988 .

[2]  Preben E. Mogensen,et al.  Ultra-reliable communication in a factory environment for 5G wireless networks: Link level and deployment study , 2016, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[3]  Troels B. Sørensen,et al.  Mission-critical mobile broadband communications in open-pit mines , 2016, IEEE Communications Magazine.

[4]  Rickard Nilsson,et al.  Channel measurements in an open-pit mine using USRPs: 5G - expect the unexpected , 2016, 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[5]  Ignacio Rodriguez,et al.  An Empirical Study on Radio Propagation in Heterogeneous Networks: with Focus on Mobile Broadband Networks and Small Cell Deployment , 2016 .

[6]  IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond M Series Mobile , radiodetermination , amateur and related satellite services , 2015 .

[7]  Ainslie,et al.  CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .

[8]  Deepaknath Tandur,et al.  Energy efficient wireless infrastructure solution for open pit mine , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[9]  Luis Guilherme Uzeda Garcia,et al.  Radio propagation in open-pit mines: A first look at measurements in the 2.6 GHz band , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[10]  Patrick Claus F. Eggers,et al.  Urban area radio propagation measurements at 955 and 1845 MHz for small and micro cells , 1991, IEEE Global Telecommunications Conference GLOBECOM '91: Countdown to the New Millennium. Conference Record.

[11]  Troels B. Sorensen,et al.  The Challenge of Wireless Connectivity to Support Intelligent Mines , 2016 .

[12]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[13]  M. Gudmundson.  Correlation Model for Shadow Fading in Mobile Radio Systems , 1991 .

[14]  Robert Hall,et al.  Wireless network requirements for the successful implementation of automation and other innovative technologies in open-pit mining , 2015 .

[15]  Theodore S. Rappaport,et al.  Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications , 2016, IEEE Transactions on Vehicular Technology.

[16]  Sima Noghanian,et al.  A Survey of Wireless Communications and Propagation Modeling in Underground Mines , 2013, IEEE Communications Surveys & Tutorials.

[17]  Gerhard Fettweis,et al.  Achieving high availability in wireless networks by inter-frequency multi-connectivity , 2016, 2016 IEEE International Conference on Communications (ICC).

[18]  Henrik Klessig,et al.  Requirements and current solutions of wireless communication in industrial automation , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).

[19]  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.