Abstract
The unmanned aerial vehicle (UAV) communications in the millimeter-wave (mmWave) band have found a wide range of concerns recently. In order to improve the communication capacity of UAV cellular networks, a low-complexity beam optimization method for the hybrid beamforming system with uniform planar arrays (UPAs) is proposed in this paper. First, the target cellular cell is quantified in spatial domain and the equivalent channel model of quantified region is established. Then, the data rate is formulated and an ideal precoding vector is achieved in terms of the expected beam gain. At last, a hybrid precoding method based on dynamic dictionary learning orthogonal matching pursuit (DDL-OMP) algorithm is introduced for producing an optimized beam. Simulation results demonstrate that our proposed method outperforms the traditional ones in achieving considerable capacity with faster convergence speed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xiao Z, Xia P, Xia XG (2016) Enabling UAV cellular with millimeter-wave communication: potentials and approaches. IEEE Commun Mag 54(5):66–73
Zeng Y, Zhang R, Lim TJ (2016) Wireless communications with unmanned aerial vehicles: opportunities and challenges. IEEE Commun Mag 54(5):36–42
Shen X (2018) Research on coverage and resource allocation of UAV mounted airborne base station. Beijing University of Posts and Telecommunications, Beijing
Yang J, Ai B, Guan K et al (2018) A geometry-based stochastic channel model for the millimeter-wave band in a 3GPP high-speed train scenario. IEEE Trans Veh Technol 67(5):3853–3864
Alkhateeb A, Mo J, Gonzalez P-N et al (2014) MIMO precoding and combining solutions for millimeter-wave systems. IEEE Commun Mag 52(12):122–131
Li B, Zhou Z, Zou W et al (2013) On the efficient beam-forming training for 60 GHz wireless personal area networks. IEEE Trans Wireless Commun 12(2):504–515
Yu B, Yang L, Ishii H (2014) 3D beamforming for capacity improvement in macrocell-assisted small cell architecture. In: IEEE global communications conference. IEEE Press, Austin, pp 4833–4838
Kulkarni M-N, Singh S, Andrews J-G (2014) Coverage and rate trends in dense urban mmWave cellular networks. In: IEEE global communications conference. IEEE Press, Austin, pp 3809–3814
Song J, Choi J, Love D-J (2017) Common codebook millimeter wave beam design: designing beams for both sounding and communication with uniform planar arrays. IEEE Trans Commun 65(4):1859–1872
Zhong WZ, Xu L, Zhu Q et al (2019) mmWave beamforming for UAV communications with unstable beam pointing. China Commun 16(1):37–46
Kaushik A, Thompson J, Yaghoobi M (2016) Sparse hybrid precoding and combining in millimeter wave MIMO systems. In: Radio propagation and technologies for 5G. IET Press, Durham, pp 1–7
Hansen R-C (2009) Phased array antennas, 2nd edn. Wiley, Hoboken, NJ
Rappaport T-S, Ben-Dor E, Murdock J-N et al (2012) 38 GHz and 60 GHz angle-dependent propagation for cellular & peer-to-peer wireless communications. In: IEEE international conference on communications. IEEE Press, Ottawa, pp 4568–4573
Ayach O-E, Rajagopal S, Abu-Surra S et al (2013) Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans Wireless Commun 13(3):1499–1513
Donno D, Joan P-B, Giustiniano D et al (2016) Hybrid analog–digital beam training for mmWave systems with low-resolution RF phase shifters. In: IEEE international conference on communications workshops. IEEE Press, Kuala Lumpur, pp 700–705
Acknowledgements
This work was supported by Aeronautical Science Foundation of China (2017ZC52021), the Major Program of National Natural Science Foundation of China (61827801), and the Foundation of Graduate Innovation Center in NUAA (kfjj20181503).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhong, W., Wang, L., Zhu, Q., Chen, X., Zhou, J. (2020). Millimeter-Wave Beamforming of UAV Communications for Small Cell Coverage. In: Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z., Chen, B. (eds) Artificial Intelligence in China. Lecture Notes in Electrical Engineering, vol 572. Springer, Singapore. https://doi.org/10.1007/978-981-15-0187-6_32
Download citation
DOI: https://doi.org/10.1007/978-981-15-0187-6_32
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0186-9
Online ISBN: 978-981-15-0187-6
eBook Packages: EngineeringEngineering (R0)