Lens Array-based Beam Precoding Optimization for UAV-enabled Multiuser Millimeter Wave MIMO System

CHEN Zhen; TANG Jie; DU Xiaoyu; ZHANG Xiuyin

doi:10.11999/JEIT211194

Volume 44 Issue 3

Mar. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 844-851

CHEN Zhen, TANG Jie, DU Xiaoyu, ZHANG Xiuyin. Lens Array-based Beam Precoding Optimization for UAV-enabled Multiuser Millimeter Wave MIMO System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 844-851. doi: 10.11999/JEIT211194

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CHEN Zhen, TANG Jie, DU Xiaoyu, ZHANG Xiuyin. Lens Array-based Beam Precoding Optimization for UAV-enabled Multiuser Millimeter Wave MIMO System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 844-851. doi: 10.11999/JEIT211194

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Lens Array-based Beam Precoding Optimization for UAV-enabled Multiuser Millimeter Wave MIMO System

doi: 10.11999/JEIT211194

School of Electronic and Information,South China Univeraity of Technology, Guangzhou 510641, China

Funds: The National Natural Science Foundation of China (62001171), The Natural Science Foundation of Guangdong Province (2021A1515011966)

Received Date: 2021-10-29
Accepted Date: 2022-02-16
Rev Recd Date: 2022-02-15

Available Online: 2022-02-25

Publish Date: 2022-03-28

Abstract

Abstract

The combination of Unmanned Aerial Vehicle (UAV) and millimeter Wave (mmWave) Multiple Input Multiple Output (MIMO) system can provide high data rate. However, deployment location of UAV and beamforming design affect directly the throughput of wireless communication system. To realize multi-user simultaneous access communication, beam space precoding technique based on Discrete Lens Array (DLA) structure is proposed in this paper, and an optimization scheme of joint UAV flight altitude, beam selection and hybrid precoding is constructed. To solve this highly non-convex problem that involves a stochastic objective function, this paper exploits the minimization weighted minimum mean square error method, transforms the problem into a series of simple approximation problems and then develops a Penalized Dual Decomposition (PDD) algorithm to solve the peoblem. Numerical simulations results show that the proposed scheme achieve near optimal achievable sum rate performance and close to full digital beamforming.

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References(15)

References

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