A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation

LI Song; LI Jiaqi; WANG Bowen; CHEN Ruirui; SUN Yanjing; ZHANG Xiaoguang

doi:10.11999/JEIT230917

Volume 46 Issue 6

Jun. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(6): 2480-2487

LI Song, LI Jiaqi, WANG Bowen, CHEN Ruirui, SUN Yanjing, ZHANG Xiaoguang. A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2480-2487. doi: 10.11999/JEIT230917

Citation:

LI Song, LI Jiaqi, WANG Bowen, CHEN Ruirui, SUN Yanjing, ZHANG Xiaoguang. A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2480-2487. doi: 10.11999/JEIT230917

Citation:

LI Song, LI Jiaqi, WANG Bowen, CHEN Ruirui, SUN Yanjing, ZHANG Xiaoguang. A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2480-2487. doi: 10.11999/JEIT230917

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A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation

doi: 10.11999/JEIT230917

LI Song^{1, 2},
LI Jiaqi¹,
WANG Bowen¹,
CHEN Ruirui¹,
SUN Yanjing^{1, 2},
ZHANG Xiaoguang^{1
,
,}

1.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2.
Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration, Xuzhou 221116, China

Funds: The National Natural Science Foundation of China (62071472, 62101556), The Fundamental Research Funds for the Central Universities (2020ZDPYMS26), The Natural Science Foundation of Jiangsu Province of China (BK20200650, BK20210489), Future Network Research Foundation of Jiangsu Province (FNSRFP-2021-YB-12)

Received Date: 2023-08-23
Rev Recd Date: 2023-12-05

Available Online: 2023-12-13

Publish Date: 2024-06-30

Abstract

Abstract

The Unmanned Aerial Vehicle (UAV)assisted over-the-Air Computation(AirComp) system provides an effective solution for the fast aggregation of large-scale and distributed data. In this paper, a joint trajectory planning and power optimization method through UAV-assisted AirComp system is investigated. As a mobile base station, UAV is used to optimize the mean square error of the aggregated data of the AirComp system by adjusting its trajectory and transmitting power of the ground sensors. Under the limitations of UAV trajectory and sensor power, the UAV flight trajectory, the scaling factor and sensor power are jointly optmized to minimize the time-averaged mean square error. Based on the block coordinate descent and successive convex approximation methods, the joint optimization algorithm of UAV flight trajectory and power is proposed. Simulation results verify the performance of the proposed algorithm.
- Over-the-Air Computation (AirComp),
- Trajectory planning,
- Power control,
- Unmanned Aerial Vehicle (UAV)

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References(17)

References

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