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Performance Study of Dual Unmanned Aerial Vehicles with Underlaid Device-to-Device Communications

  • Praveen PawarEmail author
  • Sanjeev Mani Yadav
  • Aditya Trivedi
Article

Abstract

Unmanned aerial vehicle (UAV) as an aerial base station is a predominant cost-effective solution of coverage extension in wireless communication network. It has a potential to provide disaster relief solutions and public safety services by enabling low power, highly reliable, and low latency connectivity. In this paper, deployment of UAVs in a given geographical area with coverage extension capacity is analyzed at low altitude platform. This model includes UAV with downlink users and Device-to-Device (D2D) communication underlaid with cellular network. In this work, analysis is given for dual (two) UAVs by considering two scenarios: with interference and without interference. Coverage probability and system sum rate are derived, which depends on the UAV altitude and D2D density. Our analytical results show that significant improvement in terms of coverage probability and system throughput is obtained as compared to single UAV case.

Keywords

UAV D2D communication Stochastic geometry Coverage probability Air to ground channel modeling Interference coordination 

Notes

References

  1. 1.
    Al-Hourani, A., Kandeepan, S., & Jamalipour, A. (2014). Modeling air-to-ground path loss for low altitude platforms in urban environments. In 2014 IEEE global communications conference (pp. 2898–2904).  https://doi.org/10.1109/GLOCOM.2014.7037248.
  2. 2.
    Al-Hourani, A., Kandeepan, S., & Lardner, S. (2014). Optimal lap altitude for maximum coverage. IEEE Wireless Communications Letters, 3(6), 569–572.  https://doi.org/10.1109/LWC.2014.2342736.CrossRefGoogle Scholar
  3. 3.
    Bucaille, I., Hthuin, S., Munari, A., Hermenier, R., Rasheed, T., & Allsopp, S. (2013). Rapidly deployable network for tactical applications: Aerial base station with opportunistic links for unattended and temporary events absolute example. In MILCOM 2013—2013 IEEE military communications conference (pp. 1116–1120).  https://doi.org/10.1109/MILCOM.2013.192.
  4. 4.
  5. 5.
    Corson, M. S., Laroia, R., Li, J., Park, V., Richardson, T., & Tsirtsis, G. (2010). Toward proximity-aware internetworking. IEEE Wireless Communications, 17(6), 26–33.  https://doi.org/10.1109/MWC.2010.5675775.CrossRefGoogle Scholar
  6. 6.
    Daniel, K., Rohde, S., & Wietfeld, C. (2010). Leveraging public wireless communication infrastructures for UAV-based sensor networks. In 2010 IEEE international conference on technologies for homeland security (HST) (pp. 179–184).  https://doi.org/10.1109/THS.2010.5655064.
  7. 7.
    Dhillon, H. S., Huang, H., & Viswanathan, H. (2017). Wide-area wireless communication challenges for the internet of things. IEEE Communications Magazine, 55(2), 168–174.  https://doi.org/10.1109/MCOM.2017.1500269CM.CrossRefGoogle Scholar
  8. 8.
    ElSawy, H., & Hossain, E. (2014). On stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control. IEEE Transactions on Wireless Communications, 13(8), 4454–4469.  https://doi.org/10.1109/TWC.2014.2316519.CrossRefGoogle Scholar
  9. 9.
    Feng, D., Lu, L., Yuan-Wu, Y., Li, G. Y., Feng, G., & Li, S. (2013). Device-to-device communications underlaying cellular networks. IEEE Transactions on Communications, 61(8), 3541–3551.  https://doi.org/10.1109/TCOMM.2013.071013.120787.CrossRefGoogle Scholar
  10. 10.
    Feng, Q., McGeehan, J., Tameh, E. K., & Nix, A. R. (2006). Path loss models for air-to-ground radio channels in urban environments. In 2006 IEEE 63rd vehicular technology conference (Vol. 6, pp. 2901–2905).  https://doi.org/10.1109/VETECS.2006.1683399.
  11. 11.
    Feng, Q., Tameh, E. K., Nix, A. R., & McGeehan, J. (2006). Wlcp2-06: Modelling the likelihood of line-of-sight for air-to-ground radio propagation in urban environments. IEEE Globecom, 2006, 1–5.  https://doi.org/10.1109/GLOCOM.2006.917.Google Scholar
  12. 12.
    Fodor, G., Dahlman, E., Mildh, G., Parkvall, S., Reider, N., Mikls, G., et al. (2012). Design aspects of network assisted device-to-device communications. IEEE Communications Magazine, 50(3), 170–177.  https://doi.org/10.1109/MCOM.2012.6163598.CrossRefGoogle Scholar
  13. 13.
    Haenggi, M., & Ganti, R. K. (2009). Interference in large wireless networks (Vol. 3). Boston: Now Publishers, Inc.  https://doi.org/10.1561/1300000015.zbMATHGoogle Scholar
  14. 14.
    Han, Z., Swindlehurst, A. L., & Liu, K. J. R. (2009). Optimization of manet connectivity via smart deployment/movement of unmanned air vehicles. IEEE Transactions on Vehicular Technology, 58(7), 3533–3546.  https://doi.org/10.1109/TVT.2009.2015953.CrossRefGoogle Scholar
  15. 15.
    Holis, J., & Pechac, P. (2008). Elevation dependent shadowing model for mobile communications via high altitude platforms in built-up areas. IEEE Transactions on Antennas and Propagation, 56(4), 1078–1084.  https://doi.org/10.1109/TAP.2008.919209.CrossRefGoogle Scholar
  16. 16.
    Jiang, F., & Swindlehurst, A. L. (2012). Optimization of UAV heading for the ground-to-air uplink. IEEE Journal on Selected Areas in Communications, 30(5), 993–1005.  https://doi.org/10.1109/JSAC.2012.120614.CrossRefGoogle Scholar
  17. 17.
    Komerl, J., & Vilhar, A. (2014) Base stations placement optimization in wireless networks for emergency communications. In 2014 IEEE international conference on communications workshops (ICC) (pp. 200–205).  https://doi.org/10.1109/ICCW.2014.6881196.
  18. 18.
    Li, Y., & Cai, L. (2017). Uav-assisted dynamic coverage in a heterogeneous cellular system. IEEE Network, 31(4), 56–61.  https://doi.org/10.1109/MNET.2017.1600280.CrossRefGoogle Scholar
  19. 19.
    Lien, S. Y., Chen, K. C., & Lin, Y. (2011). Toward ubiquitous massive accesses in 3GPP machine-to-machine communications. IEEE Communications Magazine, 49(4), 66–74.  https://doi.org/10.1109/MCOM.2011.5741148.CrossRefGoogle Scholar
  20. 20.
    Lin, X., Andrews, J. G., Ghosh, A., & Ratasuk, R. (2014). An overview of 3GPP device-to-device proximity services. IEEE Communications Magazine, 52(4), 40–48.  https://doi.org/10.1109/MCOM.2014.6807945.CrossRefGoogle Scholar
  21. 21.
    Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2015) Drone small cells in the clouds: Design, deployment and performance analysis. In 2015 IEEE global communications conference (GLOBECOM) (pp. 1–6).  https://doi.org/10.1109/GLOCOM.2015.7417609.
  22. 22.
    Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016) Mobile internet of things: Can UAVs provide an energy-efficient mobile architecture? In 2016 IEEE global communications conference (GLOBECOM) (pp. 1–6).  https://doi.org/10.1109/GLOCOM.2016.7841993.
  23. 23.
    Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016) Optimal transport theory for power-efficient deployment of unmanned aerial vehicles. In 2016 IEEE international conference on communications (ICC) (pp. 1–6).  https://doi.org/10.1109/ICC.2016.7510870.
  24. 24.
    Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016). Unmanned aerial vehicle with underlaid device-to-device communications: Performance and tradeoffs. IEEE Transactions on Wireless Communications, 15(6), 3949–3963.  https://doi.org/10.1109/TWC.2016.2531652.CrossRefGoogle Scholar
  25. 25.
    Phunchongharn, P., Hossain, E., & Kim, D. I. (2013). Resource allocation for device-to-device communications underlaying LTE-advanced networks. IEEE Wireless Communications, 20(4), 91–100.  https://doi.org/10.1109/MWC.2013.6590055.CrossRefGoogle Scholar
  26. 26.
    Rohde, S., & Wietfeld, C. (2012) Interference aware positioning of aerial relays for cell overload and outage compensation. In 2012 IEEE vehicular technology conference (VTC Fall) (pp. 1–5).  https://doi.org/10.1109/VTCFall.2012.6399121.
  27. 27.
    Sakr, A. H., & Hossain, E. (2015). Cognitive and energy harvesting-based D2D communication in cellular networks: Stochastic geometry modeling and analysis. IEEE Transactions on Communications, 63(5), 1867–1880.  https://doi.org/10.1109/TCOMM.2015.2411266.CrossRefGoogle Scholar
  28. 28.
    Tang, H., & Ding, Z. (2016). Mixed mode transmission and resource allocation for D2D communication. IEEE Transactions on Wireless Communications, 15(1), 162–175.  https://doi.org/10.1109/TWC.2015.2468725.CrossRefGoogle Scholar
  29. 29.
    Wang, H., Wang, J., Ding, G., Wang, L., Tsiftsis, T. A., & Sharma, P. K. (2017). Resource allocation for energy harvesting-powered D2D communication underlaying UAV-assisted networks. IEEE Transactions on Green Communications and Networking, PP(99), 1–1.  https://doi.org/10.1109/TGCN.2017.2767203.Google Scholar
  30. 30.
    Yu, C. H., Tirkkonen, O., Doppler, K., & Ribeiro, C. (2009) Power optimization of device-to-device communication underlaying cellular communication. In 2009 IEEE international conference on communications (pp. 1–5).  https://doi.org/10.1109/ICC.2009.5199353.
  31. 31.
    Yu, G., Xu, L., Feng, D., Yin, R., Li, G. Y., & Jiang, Y. (2014). Joint mode selection and resource allocation for device-to-device communications. IEEE Transactions on Communications, 62(11), 3814–3824.  https://doi.org/10.1109/TCOMM.2014.2363092.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Digital Communication LabABV-Indian Institute of Information Technology and ManagementGwaliorIndia

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