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A Simplified Interference Model for Outdoor Millimeter-wave Networks

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Abstract

Industry 4.0 is the emerging trend of the industrial automation. Millimeter-wave (mmWave) communication is a prominent technology for wireless networks to support the Industry 4.0 requirements. The availability of tractable accurate interference models would greatly facilitate performance analysis and protocol development for these networks. In this paper, we investigate the accuracy of an interference model that assumes impenetrable obstacles and neglects the sidelobes. We quantify the error of such a model in terms of statistical distribution of the signal to noise plus interference ratio and of the user rate for outdoor mmWave networks under different carrier frequencies and antenna array settings. The results show that assuming impenetrable obstacle comes at almost no accuracy penalty, and the accuracy of neglecting antenna sidelobes can be guaranteed with sufficiently large number of antenna elements. The comprehensive discussions of this paper provide useful insights for the performance analysis and protocol design of outdoor mmWave networks.

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Notes

  1. actual SINR corresponds to the SINR when lo is the exact penetration loss of each obstacle in (3) and the sidelobe gain is considered.

References

  1. Schwab K (2016) The fourth industrial revolution. World Economic Forum, Geneva

    Google Scholar 

  2. Mishra AK, Nigam Y, Singh DR (2017) Controlled blasting in a limestone mine using electronic detonators: a case study. J Geol Soc India, Springer 89(1):87–90

    Article  Google Scholar 

  3. Yan Y, Qian Y, Sharif H, Tipper D (2013) A survey on smart grid communication infrastructures: motivations, requirements and challenges. IEEE Commun Surv Tuts 15(1):5–20

    Article  Google Scholar 

  4. Willig A, Matheus K, Wolisz A (2005) Wireless technology in industrial networks. Proc IEEE 93 (6):1130–1151

    Article  Google Scholar 

  5. Luvisotto M, Pang Z, Dzung D (2017) Ultra high performance wireless control for critical applications: challenges and directions. J IEEE Trans Ind Informat 13(3):1448–1459

    Article  Google Scholar 

  6. Pang Z, Luvisotto M, Dzung D (2017) High performance wireless communications for critical control applications. J IEEE Ind Electron Mag

  7. Rangan S, Rappaport TS, Erkip E (2014) Millimeter-wave cellular wireless networks: potentials and challenges. J Proc IEEE 102(3):366–385

    Article  Google Scholar 

  8. Akdeniz MR, Liu Y, Samimi MK, Sun S, Rangan S, Rappaport TS, Erkip E (2014) Millimeter wave channel modeling and cellular capacity evaluation. J IEEE J Sel Areas Commun 32(6):1164–1179

    Article  Google Scholar 

  9. Park C, Rappaport TS (2007) Short-range wireless communications for next-generation networks: UWB, 60 GHz millimeter-wave WPAN, and ZigBee. J IEEE Wirel Commun 14(4):70–78

    Article  Google Scholar 

  10. Singh S, Ziliotto F, Madhow U, Belding E, Rodwell M (2009) Blockage and directivity in 60 GHz wireless personal area networks: from cross-layer model to multihop MAC design. J IEEE J Sel Areas Commun 27 (8):1400–1413

    Article  Google Scholar 

  11. Shokri-Ghadikolaei H, Fischione C (2016) The transitional behavior of interference in millimeter wave networks and its impact on medium access control. J IEEE Trans Commun 62(2):723–740

    Article  Google Scholar 

  12. Thornburg A, Bai T, Heath RW (2015) Interference statistics in a random mmWave ad hoc network. In: IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 2904–2908

  13. Singh S, Kulkarni MN, Ghosh A, Andrews JG (2015) Tractable model for rate in self-backhauled millimeter wave cellular networks. J IEEE J Sel Areas Commun 33(10):2196–2211

    Article  Google Scholar 

  14. Bai T, Heath RW (2015) Coverage and rate analysis for millimeter-wave cellular networks. J IEEE Trans Wirel Commun 14(2):1100–1114

    Article  Google Scholar 

  15. Di Renzo M (2015) Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks. J IEEE Trans Wireless Commun 14(9):5038–5057

    Article  Google Scholar 

  16. Niu Y, Li Y, Jin D, Su L, Wu D (2015) Blockage robust and efficient scheduling for directional mmWave WPANs. J IEEE Trans Veh Technol 64(2):728–742

    Article  Google Scholar 

  17. Shokri-Ghadikolaei H, Fischione C, Modiano E (2016) On the accuracy of interference models in wireless communications. In: IEEE international conference on communications. Kuala Lumpur, pp 1–6

  18. El Ayach O, Rajagopal S, Abu-Surra S, Pi Z, Heath RW (2014) Spatially sparse precoding in millimeter wave MIMO systems. J IEEE Trans Wireless Commun 13(3):1499–1513

    Article  Google Scholar 

  19. El Ayach O, Heath RW, Abu-Surra S, Rajagopal S, Pi Z (2012) The capacity optimality of beam steering in large millimeter wave MIMO systems. In: 13th IEEE international workshop on signal processing advances in wireless communications. Cesme, pp 100–104

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Authors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Xiaolin Jiang, Hossein Shokri-Ghadikolaei & Carlo Fischione

  2. ABB Corporate Research, Västerås, Sweden

    Zhibo Pang

Authors
  1. Xiaolin Jiang
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  2. Hossein Shokri-Ghadikolaei
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  3. Carlo Fischione
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  4. Zhibo Pang
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Corresponding author

Correspondence to Xiaolin Jiang.

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Jiang, X., Shokri-Ghadikolaei, H., Fischione, C. et al. A Simplified Interference Model for Outdoor Millimeter-wave Networks. Mobile Netw Appl 24, 983–990 (2019). https://doi.org/10.1007/s11036-018-1030-2

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  • DOI: https://doi.org/10.1007/s11036-018-1030-2

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