Energy Efficient UAV Placement for Multiple Users in IoT Networks

In this paper, the problem of optimal placement of an Unmanned Aerial Vehicle (UAV) is addressed for seamless indoor IoT connectivity of the worst-case (farthest) multiple users. The optimization of the transmitted power from UAV is carried out so that all the users can receive the transmitted data from the UAV with a minimum path loss. The proposed method can be used for signals such as Wi-Fi, Bluetooth or cellular, amongst others. We utilize the ITU-R recommended path loss model and place the UAV, ensuring seamless connectivity of the worst-case users. The relationship between the locations of the user and UAV is also established along with the derivation of the optimality condition for maximum power transmitted. The theoretical results are in good agreement with the simulation results. The proposed method is validated for multiple users instead of a single user in previous methods using numerical experiments.

[1]  Yunfei Chen,et al.  Optimum Placement of UAV as Relays , 2018, IEEE Communications Letters.

[2]  Kandeepan Sithamparanathan,et al.  Optimal LAP Altitude for Maximum Coverage , 2014, IEEE Wireless Communications Letters.

[3]  Xiao Zhang,et al.  Fast Deployment of UAV Networks for Optimal Wireless Coverage , 2017, IEEE Transactions on Mobile Computing.

[4]  Shanzhi Chen,et al.  Power-Efficient Deployment of a UAV for Emergency Indoor Wireless Coverage , 2018, IEEE Access.

[5]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[6]  Halim Yanikomeroglu,et al.  3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage , 2017, IEEE Wireless Communications Letters.

[7]  Stefan Parkvall,et al.  5G wireless access: requirements and realization , 2014, IEEE Communications Magazine.

[8]  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).

[9]  Andrew R. Nix,et al.  Path Loss Models for Air-to-Ground Radio Channels in Urban Environments , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[10]  Xiao Zhang,et al.  Optimization of Emergency UAV Deployment for Providing Wireless Coverage , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[11]  Abbas Jamalipour,et al.  Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.

[12]  A. Galántai.  The theory of Newton's method , 2000 .

[13]  Halim Yanikomeroglu,et al.  Backhaul-aware robust 3D drone placement in 5G+ wireless networks , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).