UAV

Unmanned aerial vehicles (UAVs) are integral part of future smart cities. UAVs are expected to be widely and massively deployed for a slew of critical applications that include surveillance, package delivery, disaster and recovery, remote sensing, and transportation, among others. Such a widespread deployment of UAVs will require fundamental new tools and techniques to model, optimize and analyze the deployments of UAVs.

Fundamentals issues related to UAVs are:

• Need for air-to-ground and air-to-air channel models since these channels differ from classical wireless terrestrial channels.
• Need for analytical and theoretical tools to understand how to optimally deploy and operate UAVs for communication.
• Need for resource allocation in networks based on UAV-based communication.
• Remote control of UAVs

Publications

• H. Kim, J. Park, M. Bennis, SL Kim, "Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach," in Proc. of IEEE SPAWC 2018. arXiv preprint arXiv:1803.03285
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Wireless Communication using Unmanned Aerial Vehicles (UAVs): Optimal Transport Theory for Hover Time Optimization,” IEEE Transactions on Wireless Communications, accepted and to appear, 2017.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Mobile Unmanned Aerial Vehicles (UAVs) for Energy Efficient Internet of Things Communications,” IEEE Transactions on Wireless Communications, accepted and to appear, 2017.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Unmanned aerial vehicle with underlaid device-to device communications: performance and tradeoffs,” IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 3949-3963, June 2016.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage,” IEEE Communications Letters, vol. 20, no. 8, pp. 1647-1650, Aug. 2016.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Optimal Transport Theory for Cell Association in UAV Enabled Cellular Networks,” IEEE Communications Letters, vol. 21, no. 9, pp. 2053-2056, Sept. 2017.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Optimal Transport Theory for Effective UAV-Based Wireless Communications under Flight Time Constraints,” extended abstract in IEEE Communication Theory Workshop (CTW), May 2017.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Performance Optimization for UAV-Enabled Wireless Communications under Flight Time Constraints,” accepted in IEEE Global Communications Conference (GLOBECOM), to appear, 2017.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Mobile Internet of Things: Can UAVs provide an energy-efficient mobile architecture?,” in Proc. of IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, Dec. 2016.
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Optimal transport theory for power-efficient deployment of unmanned aerial vehicles,” in Proc. of IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016.
• V. Sharma, M. Bennis, R. Kumar, "UAV-Assisted Heterogeneous Networks for Capacity Enhancement," IEEE Communications Letters 20(6): 1207-1210 (2016).
• M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Drone small cells in the clouds: Design, deployment and performance analysis,” in Proc. of IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, Dec. 2015.