Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss

Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it is considered in this work. The paper explores diverse sort of wireless backhauls that delivers unlike data rates, and their impact on the served users. We present a dual model network0centric’s and user0centric’s and the optimum 3 dimensional assignment of a UAV is calculated for each model. We then maximized the quantity of attended consumers and sum rates for both models. Furthermore it is preferred to lessen the UAV movements which results in increasing flying time & decreases channel variants and the performance of the network is analyzed in correspondence to the user’s translations.

[1]  Ramjee Prasad,et al.  Aerial-Heterogeneous Network: A Case Study Analysis on the Network Performance Under Heavy User Accumulations , 2017, Wirel. Pers. Commun..

[2]  Halim Yanikomeroglu,et al.  On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[3]  Khurram Shahzad,et al.  Evolution of Optimal 3D placement of UAV with Minimum Transmit Power , 2019, International Journal of Wireless Communications and Mobile Computing.

[4]  Tor Arne Johansen,et al.  Coordinated maritime missions of unmanned vehicles — Network architecture and performance analysis , 2017, 2017 IEEE International Conference on Communications (ICC).

[5]  Tarik Taleb,et al.  Connection steering mechanism between mobile networks for reliable UAV's IoT platform , 2017, 2017 IEEE International Conference on Communications (ICC).

[6]  Khaled Ben Letaief,et al.  Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations , 2017, IEEE Transactions on Wireless Communications.

[7]  Halim Yanikomeroglu,et al.  Efficient 3-D placement of an aerial base station in next generation cellular networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[8]  Karina Mabell Gomez,et al.  Designing and implementing future aerial communication networks , 2016, IEEE Communications Magazine.

[9]  Salahedin Rehan,et al.  Aerial base stations with opportunistic links for next generation emergency communications , 2016, IEEE Communications Magazine.

[10]  Halim Yanikomeroglu,et al.  The New Frontier in RAN Heterogeneity: Multi-Tier Drone-Cells , 2016, IEEE Communications Magazine.

[11]  Min Zhao,et al.  Cooperative Attack Strategy of Unmanned Aerial Vehicles in Adversarial Environment , 2013, Intell. Autom. Soft Comput..

[12]  Mohamed-Slim Alouini,et al.  FSO-Based Vertical Backhaul/Fronthaul Framework for 5G+ Wireless Networks , 2016, IEEE Communications Magazine.

[13]  Mazen O. Hasna,et al.  A Distributed Approach for Networked Flying Platform Association with Small Cells in 5G+ Networks , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[14]  Mohamed-Slim Alouini,et al.  Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems , 2017, IEEE Access.