UAV Assisted Communication Network Uplink Transmission Technology Based on Joint Beamforming

XU Fangmin; SHI Wence; FENG Tao; TAO Yiwen; ZHAO Chenglin

doi:10.11999/JEIT220024

Volume 44 Issue 3

Mar. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 871-880

XU Fangmin, SHI Wence, FENG Tao, TAO Yiwen, ZHAO Chenglin. UAV Assisted Communication Network Uplink Transmission Technology Based on Joint Beamforming[J]. Journal of Electronics & Information Technology, 2022, 44(3): 871-880. doi: 10.11999/JEIT220024

Citation:

XU Fangmin, SHI Wence, FENG Tao, TAO Yiwen, ZHAO Chenglin. UAV Assisted Communication Network Uplink Transmission Technology Based on Joint Beamforming[J]. Journal of Electronics & Information Technology, 2022, 44(3): 871-880. doi: 10.11999/JEIT220024

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UAV Assisted Communication Network Uplink Transmission Technology Based on Joint Beamforming

doi: 10.11999/JEIT220024

1.
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China
2.
China Mechanical and Electrical Equipment Bidding Center, Ministry of Industry and Information Technology, Beijing 100142, China

Funds: The National Natural Science Foundation of China (U1805262)

Received Date: 2022-01-06
Accepted Date: 2022-02-25
Rev Recd Date: 2022-02-25

Available Online: 2022-02-28

Publish Date: 2022-03-28

Abstract

Abstract

The UAV-assisted communication network can supplement the existing wireless communication network and improve the performance of the communication system and the coverage service range, but the improvement of the uplink transmission communication rate in the process of UAV-assisted communication still faces huge challenges. Aiming at how to improve the uplink transmission communication rate of UAV-assisted communication network, this paper proposes a UAV-assisted communication network uplink transmission technology based on joint beamforming. First, Bernoulli particle filtering is performed on the received signal strength value of the user node, combined with the UAV motion model to complete the UAV positioning, and further, the user node uses jointly the distributed beamforming algorithm to send signals to the UAV direction to complete the uplink transmission communication. Compared with the non-orthogonal multiple access algorithm and the traditional omnidirectional transmission algorithm, the experimental results show that the proposed method improves significantly the signal-to-noise ratio and communication rate of the UAV received signal, and ensures the uplink communication of the UAV. It provides a potential solution to guarantee the communication performance for the uplink transmission of the UAV-assisted communication network in the future.
- UAV-assisted communication,
- Uplink transmission,
- Distributed beamforming,
- Bernoulli particle filter,
- Target location

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References(23)

References

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