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Performance Analysis of the Access Link of Drone Base Station Networks with LoS/NLoS Transmissions

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Abstract

In this paper, we provide performance analysis for drone base station (DBS)-enabled wireless communication networks. The lower bound performance of such networks has been previously obtained in the literature, assuming DBSs are statically hovering and randomly distributed according to a homogeneous Poisson point process (HPPP). We derive the upper bound performance of such networks assuming a teleportation mode, i.e., DBSs can instantaneously move to the positions directly overhead ground users (UEs). By considering both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions in the access links between DBSs and ground UEs, coverage probability and area spectral efficiency (ASE) are derived in closed-form expressions based on stochastic geometry analysis. The characterization of both the lower and upper bound performances of DBS networks indicates the performance region of practical DBS network operations. Moreover, our analytical and simulation results in this paper provide guidelines for performance optimization of further DBS networks.

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Notes

  1. 1.

    Note that the ground BS to DBS backhaul links are considered to be ideal in this paper, and further extensions of this work will study its non-negligible impact.

References

  1. New America: Drones and aerial observation: new technologies for property rights, human rights, and global development - a primer, July 2015

    Google Scholar 

  2. Mozaffari, M., Saad, W., Bennis, M., Debbah, M.: Communications and control for wireless drone-based antenna array. arXiv:1712.10291, December 2017

  3. Lyu, J., Rui Zhang, Y.Z.: UAV-aided offloading for cellular hotspot. IEEE Trans. Wirel. Commun. 17, 3988–4001 (2018)

    Article  Google Scholar 

  4. Geraci, G., Garcia Rodriguez, A., Giordano, L.G., López-Pérez, D., Björnson, E.: Understanding UAV cellular communications: from existing networks to massive MIMO. arXiv:1804.08489, April 2018

  5. Geraci, G., Garcia Rodriguez, A., Giordano, L.G., López-Pérez, D., Björnson, E.: Supporting UAV cellular communications through massive MIMO. In: Proceedings of the IEEE ICC Workshops, May 2018. arXiv:1802.01527 (2018, to appear)

  6. 3GPP Technical Report 36.777: Technical specification group radio access network; Study on enhanced LTE support for aerial vehicles (Release 15), December 2017

    Google Scholar 

  7. Zhang, C., Zhang, W.: Spectrum sharing for drone networks. IEEE J. Sel. Areas Commun. 35(1), 136–144 (2017)

    Google Scholar 

  8. Fotouhi, A., Ding, M., Hassan, M.: Dynamic base station repositioning to improve spectral efficiency of drone small cells. In: IEEE 18th International Symposium on A World of Wireless. Mobile and Multimedia Networks (WoWMoM), pp. 1–9 (2017)

    Google Scholar 

  9. Ding, M., López-Pérez., D.: Please lower small cell antenna heights in 5G. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2016)

    Google Scholar 

  10. Mozaffari, M., Saad, W., Bennis, M., Debbah, M.: Drone small cells in the clouds: design, deployment and performance analysis. In: 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2015)

    Google Scholar 

  11. Madhusudhanan, P., Restrepo, J.G., Liu, Y., Brown, T.X., Baker, K.R.: Downlink performance analysis for a generalized Shotgun cellular system. IEEE Trans. Wireless Commun. 13(12), 6684–6696 (2014)

    Article  Google Scholar 

  12. Ding, M., Wang, P., López-Pérez, D., Mao, G., Lin, Z.: Performance impact of LoS and NLoS transmissions in dense cellular networks. IEEE Trans. Wirel. Commun. 15(3), 2365–2380 (2016)

    Article  Google Scholar 

  13. Ding, M., López-Pérez, D., Mao, G., Lin, Z.: Performance impact of idle mode capability on dense small cell networks. IEEE Trans. Veh. Technol. 66(11), 10446–10460 (2017)

    Article  Google Scholar 

  14. Ding, M., López-Pérez, D.: Performance impact of base station antenna heights in dense cellular networks. IEEE Trans. Wirel. Commun. 16(12), 8147–8161 (2017)

    Article  Google Scholar 

  15. 3GPP: TR 38.901(v14.0.0) Study on channel model for frequencies from 0.5 to 100 GHz (2017)

    Google Scholar 

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Correspondence to Huazhou Li .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, H., Ding, M., López-Pérez, D., Fotouhi, A., Lin, Z., Hassan, M. (2019). Performance Analysis of the Access Link of Drone Base Station Networks with LoS/NLoS Transmissions. In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-05873-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05872-2

  • Online ISBN: 978-3-030-05873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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