Performance Study of Dual Unmanned Aerial Vehicles with Underlaid Device-to-Device Communications
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.
KeywordsUAV D2D communication Stochastic geometry Coverage probability Air to ground channel modeling Interference coordination
- 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.
- 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.Cisco: Cisco visual networking index: Forecast and methodology, 2016–2021. http://www.cisco.com/c/dam/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.pdf. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.pdf. Accessed January 16, 2018.
- 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.
- 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.
- 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.
- 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.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.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.
- 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.
- 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.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.