LTE in the sky: trading off propagation benefits with interference costs for aerial nodes

The popularity of unmanned aerial vehicles has exploded over the last few years, urgently demanding solutions to transfer large amounts of data from the UAV to the ground. Conversely, a control channel to the UAV is desired, in order to safely operate these vehicles remotely. This article analyzes the use of LTE for realizing this downlink data and uplink control. By means of measurements and simulations, we study the impact of interference and path loss when transmitting data to and from the UAV. Two scenarios are considered in which UAVs act as either base stations transmitting in downlink or UEs transmitting in uplink, and their impact on the respective downlink and uplink performance of an LTE ground network is analyzed. Both measurements and simulations are used to quantify such impact for a range of scenarios with varying altitude, distance from the base station, or UAV density. The measurement sets show that signal-to-interference ratio decreases up to 7 dB for UAVs at 150 m compared to ground users. Simulation results show that a UAV density of 10/km2 gives an average degradation of the signal-to-interference ratio of more than 6 dB. It is concluded that interference is going to be a major limiting factor when LTE enabled UAVs are introduced, and that strong technical solutions will have to be found.

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

[2]  Andreas Achtzehn,et al.  TheWorld is not flat: Wireless communications in 3D environments , 2013, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[3]  Christian Wietfeld,et al.  Interference Aware Positioning of Aerial Relays for Cell Overload and Outage Compensation , 2012, 2012 IEEE Vehicular Technology Conference (VTC Fall).

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

[5]  Markus Rupp,et al.  System Level Simulation of LTE Networks , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[6]  Sofie Pollin,et al.  Micro aerial vehicle networks: an experimental analysis of challenges and opportunities , 2014, IEEE Communications Magazine.

[7]  Ismail Güvenç,et al.  UAV assisted heterogeneous networks for public safety communications , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[8]  Mehdi Bennis,et al.  Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis , 2014, GLOBECOM 2014.

[9]  Sofie Pollin,et al.  Analysis of Harmful Interference to and from Aerial IEEE 802.11 Systems. , 2015, DroNet@MobiSys.