Low Complexity Hybrid Beamforming for MmWave-UAV Communication Systems with a Pre-defined Codebook

Author:

Yu Quan1,Han Chao2,Wang Jingchao3,Bai Lin4

Affiliation:

1. Peng Cheng Laboratory, Shenzhen Cyberspace Laboratory, Shenzhen, Guangdong, China (CHN) and School of Electronic and Information Engineering, Beihang University, Beijing, China (CHN)

2. School of Electronic and Information Engineering, Beihang University, Beijing, China (CHN)

3. Peng Cheng Laboratory, Shenzhen Cyberspace Laboratory, Shenzhen, Guangdong, China (CHN)

4. School of Cyber Science and Technology, Beihang University, Beijing, China (CHN)

Publisher

ACM Press

Reference19 articles.

1. Hellaoui, H., Bekkouche, O., Bagaa, M., and Taleb, T. 2018. Aerial control system for spectrum effciency in UAV-to-cellular communications. IEEE Commun. Mag. 56, 10 (Oct. 2018), 108--113.

2. He H., Zhang S., Zeng Y., Zhang R. 2018. Joint altitude and beamwidth optimization for UAV-enabled multiuser communications. IEEE Commun. Lett. 22, 2 (Feb. 2018), 344--347.

3. Mozaffari M. Saad W., Bennis M., Debbah M. 2015. Drone small cells in the clouds: design, deployment and performance analysis. In Proceedings of 2015 IEEE Global Communications Conference (GLOBECOM, San Diego, CA, USA, Dec 06-10, 2015), 2015. 1--6.

4. Zhu Y, Zheng G, and Fitch M. 2018. Secrecy rate analysis of UAV-enabled mmWave networks using matérn hardcore point processes. IEEE J. Sel. Areas Commun. 36, 7 (Jul. 2018), 1397--1409.

5. Zhang C., Xu W.; Chen M. 2009. Hybrid zero-forcing beamforming orthogonal beamforming with user selection for MIMO broadcast channels. IEEE Commun. Lett. 13, 1 (Jan. 2009), 10--12.

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