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, issue.6, pp.3949-3963, 2016.
DOI : 10.1109/TWC.2016.2531652

URL : https://hal.archives-ouvertes.fr/hal-01789328

A. Hourani, S. Kandeepan, and A. Jamalipour, Modeling air-to-ground path loss for low altitude platforms in urban environments, Proc. of IEEE Global Communications Conference (GLOBECOM), 2014.

R. Yaliniz, A. El-keyi, and H. Yanikomeroglu, Efficient 3-D placement of an aerial base station in next generation cellular networks, Proc. of IEEE International Conference on Communications (ICC), 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, issue.8, 2016.
DOI : 10.1109/LCOMM.2016.2578312

URL : https://hal.archives-ouvertes.fr/hal-01777917

Z. Dawy, W. Saad, A. Ghosh, J. G. Andrews, and E. Yaacoub, Toward Massive Machine Type Cellular Communications, IEEE Wireless Communications, vol.24, issue.1, 2016.
DOI : 10.1109/MWC.2016.1500284WC

S. Lien, K. Chen, and Y. Lin, Toward ubiquitous massive accesses in 3GPP machine-to-machine communications, IEEE Communications Magazine, vol.49, issue.4, pp.66-74, 2011.
DOI : 10.1109/MCOM.2011.5741148

M. Hassanalieragh, A. Page, T. Soyata, G. Sharma, M. Aktas et al., Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges, 2015 IEEE International Conference on Services Computing, 2015.
DOI : 10.1109/SCC.2015.47

URL : http://www.ece.rochester.edu/%7Egsharma/papers/Moeen_HealthMonitor_SCC2015.pdf

Z. Han, A. L. Swindlehurst, and K. Liu, Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles, IEEE Transactions on Vehicular Technology, vol.58, issue.7, pp.3533-3546, 2009.
DOI : 10.1109/TVT.2009.2015953

M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, Optimal transport theory for power-efficient deployment of unmanned aerial vehicles, 2016 IEEE International Conference on Communications (ICC), 2016.
DOI : 10.1109/ICC.2016.7510870

URL : http://arxiv.org/pdf/1602.01532

Y. Pang, Y. Zhang, Y. Gu, M. Pan, Z. Han et al., Efficient data collection for wireless rechargeable sensor clusters in Harsh terrains using UAVs, 2014 IEEE Global Communications Conference, pp.234-239, 2014.
DOI : 10.1109/GLOCOM.2014.7036813

N. Abuzainab, W. Saad, and H. V. Poor, Cognitive hierarchy theory for heterogeneous uplink multiple access in the Internet of Things, 2016 IEEE International Symposium on Information Theory (ISIT), 2016.
DOI : 10.1109/ISIT.2016.7541499

C. Tu, C. Ho, and C. Huang, Energy-Efficient Algorithms and Evaluations for Massive Access Management in Cellular Based Machine to Machine Communications, 2011 IEEE Vehicular Technology Conference (VTC Fall), pp.1-5, 2011.
DOI : 10.1109/VETECF.2011.6092977

C. Villani, Topics in optimal transportation, American Mathematical Soc, vol.58, issue.58, 2003.
DOI : 10.1090/gsm/058

A. Goldsmith, Wireless communications, 2005.
DOI : 10.1017/CBO9780511841224

F. Höppner and F. Klawonn, Clustering with size constraints, Computational Intelligence Paradigms, pp.167-180, 2008.

R. S. Garfinkel and G. L. Nemhauser, Integer programming, 1972.

Q. Xia, Motivations, ideas and applications of ramified optimal transportation, ESAIM: Mathematical Modelling and Numerical Analysis, vol.5, issue.6, pp.1791-1832, 2015.
DOI : 10.1109/ICCMS.2010.30

C. , D. Franco, and G. Buttazzo, Energy-aware coverage path planning of UAVs, Proc. of IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp.111-117, 2015.
DOI : 10.1109/icarsc.2015.17

L. , F. Jr, and D. R. Fulkerson, Solving the transportation problem, Management Science, vol.3, issue.1, pp.24-32, 1956.