Impact of Hovering Inaccuracy on UAV-Aided RFET

In this letter, the impact of hovering inaccuracy on the performance of unmanned aerial vehicle (UAV)-aided RF energy transfer (RFET) is investigated. Hovering inaccuracy is measured by localization and orientation mismatch of UAV while it hovers above a sensor of interest. An analytical framework is presented that captures these mismatches, and its impact on the performance of UAV-aided RFET is studied. To evaluate the performance, a metric called mismatch index is defined as the ratio of loss in harvested power due to mismatch and harvested power without mismatch. A closed-form expression of the distribution of mismatch index is obtained. A UAV-based experimental setup is developed to collect the data of hovering inaccuracy parameters, and the performance is investigated for three antenna types with different radiation patterns. It is observed that, the optimal deployment height of UAV increases as the antenna becomes more directional.

[1]  Jie Xu,et al.  UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization , 2017, IEEE Transactions on Wireless Communications.

[2]  Jiming Chen,et al.  Q-Charge: A Quadcopter-Based Wireless Charging Platform for Large-Scale Sensing Applications , 2017, IEEE Network.

[3]  Swades De,et al.  Backhaul and delay-aware placement of UAV-enabled base station , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[4]  Alessandra Costanzo,et al.  Energizing 5G: Near- and Far-Field Wireless Energy and Data Trantransfer as an Enabling Technology for the 5G IoT , 2017, IEEE Microwave Magazine.

[5]  Joan Daniel Prades,et al.  The Power of Models: Modeling Power Consumption for IoT Devices , 2015, IEEE Sensors Journal.

[6]  Swades De,et al.  UAV-Assisted RFET: A Novel Framework for Sustainable WSN , 2019, IEEE Transactions on Green Communications and Networking.

[7]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[8]  Jie Xu,et al.  Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks , 2018, IEEE Internet of Things Journal.

[9]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[10]  Swades De,et al.  On the Feasibility of Network RF Energy Operated Field Sensors , 2010, 2010 IEEE International Conference on Communications.

[11]  Aileron Fundamentals of Small Unmanned Aircraft Flight , 2012 .

[12]  Swades De,et al.  Solar-enabled green base stations: Cost versus utility , 2017, 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[13]  Walid Saad,et al.  Toward Massive Machine Type Cellular Communications , 2017, IEEE Wireless Communications.

[14]  Christopher T. Russell,et al.  GEOPHYSICAL COORDINATE TRANSFORMATIONS , 1971 .

[15]  Wen Geyi,et al.  A New Rectenna With All-Polarization-Receiving Capability for Wireless Power Transmission , 2016, IEEE Antennas and Wireless Propagation Letters.

[16]  Swades De,et al.  Path Loss Model for UAV-Assisted RFET , 2018, IEEE Communications Letters.

[17]  Swades De,et al.  UAV-Assisted RF Energy Transfer , 2018, 2018 IEEE International Conference on Communications (ICC).

[18]  Derrick Wing Kwan Ng,et al.  Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems , 2015, IEEE Communications Letters.

[19]  Carrick Detweiler,et al.  Resonant wireless power transfer to ground sensors from a UAV , 2012, 2012 IEEE International Conference on Robotics and Automation.