UAV Beam Alignment for Highly Mobile Millimeter Wave Communications

Unmanned Aerial Vehicles (UAVs) have the advantages of high mobility and flexibility that can be potentially used as aerial base stations (BSs) to provide millimeter-wave (mmWave) communication with ground users. However, the UAV mmWave beamforming must be carefully designed to provide directional transmission and support reliable connections. In this paper, we consider a UAV mmWave system, where the UAV serves as a BS to cover mobile users on the ground. Firstly, we study the beam training and propose beam training codebook designs for both insufficient and sufficient beam training cases. Then, we propose efficient beam tracking methods to predict the beam direction with user mobility, where both random and inertial motion are considered. Simulation results show that the average downlink capacity increases with the proposed beam training codebook. Further, the mean angular error of our proposed beam tracking is lower than existing method.

[1]  Theodore S. Rappaport,et al.  Millimeter Wave Wireless Communications , 2014 .

[2]  Xiaodai Dong,et al.  Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems , 2014, IEEE Wireless Communications Letters.

[3]  Wei Zhang,et al.  Antenna subset selection for line-of-sight millimeter wave massive MIMO systems , 2017, 2017 23rd Asia-Pacific Conference on Communications (APCC).

[4]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[5]  Wei Zhang,et al.  Hybrid Precoding Design Achieving Fully Digital Performance for Millimeter Wave Communications , 2018, Journal of Communications and Information Networks.

[6]  Lu Yang,et al.  Beam Tracking and Optimization for UAV Communications , 2019, IEEE Transactions on Wireless Communications.

[7]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[8]  Xiang-Gen Xia,et al.  3-D Beamforming for Flexible Coverage in Millimeter-Wave UAV Communications , 2019, IEEE Wireless Communications Letters.

[9]  Danilo De Donno,et al.  Tracking mm-Wave channel dynamics: Fast beam training strategies under mobility , 2016, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[10]  Jiaheng Wang,et al.  Codebook-Based Hybrid Precoding for Millimeter Wave Multiuser Systems , 2017, IEEE Transactions on Signal Processing.

[11]  Limin Xiao,et al.  Analog beam tracking in linear antenna arrays: Convergence, optimality, and performance , 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

[12]  David James Love,et al.  Adaptive Beam Tracking With the Unscented Kalman Filter for Millimeter Wave Communication , 2018, IEEE Signal Processing Letters.

[13]  Lu Yang,et al.  Research Challenges and Opportunities of UAV Millimeter-Wave Communications , 2019, IEEE Wireless Communications.

[14]  Xiang-Gen Xia,et al.  Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication , 2015, IEEE Transactions on Wireless Communications.

[15]  Robert W. Heath,et al.  Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems , 2015, IEEE Transactions on Communications.

[16]  Xiang-Gen Xia,et al.  Enabling UAV cellular with millimeter-wave communication: potentials and approaches , 2016, IEEE Communications Magazine.

[17]  Wei Zhang,et al.  Spectrum Sharing for Drone Networks , 2017, IEEE Journal on Selected Areas in Communications.

[18]  Robert W. Heath,et al.  Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.

[19]  Robert W. Heath,et al.  High-Resolution Angle Tracking for Mobile Wideband Millimeter-Wave Systems With Antenna Array Calibration , 2018, IEEE Transactions on Wireless Communications.

[20]  Robert W. Heath,et al.  Beam tracking for mobile millimeter wave communication systems , 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[21]  Robert W. Heath,et al.  An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems , 2015, IEEE Journal of Selected Topics in Signal Processing.

[22]  Limin Xiao,et al.  How to Mobilize Mmwave: A Joint Beam and Channel Tracking Approach , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).