Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands

PAN Yu; HU Hang; JIN Hu; LEI Yingke; FENG Hui; JIANG Li; ZHANG Mengbo

doi:10.11999/JEIT240275

Volume 46 Issue 11

Nov. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(11): 4287-4294

PAN Yu, HU Hang, JIN Hu, LEI Yingke, FENG Hui, JIANG Li, ZHANG Mengbo. Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands[J]. Journal of Electronics & Information Technology, 2024, 46(11): 4287-4294. doi: 10.11999/JEIT240275

Citation:

PAN Yu, HU Hang, JIN Hu, LEI Yingke, FENG Hui, JIANG Li, ZHANG Mengbo. Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands[J]. Journal of Electronics & Information Technology, 2024, 46(11): 4287-4294. doi: 10.11999/JEIT240275

Citation:

PAN Yu, HU Hang, JIN Hu, LEI Yingke, FENG Hui, JIANG Li, ZHANG Mengbo. Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands[J]. Journal of Electronics & Information Technology, 2024, 46(11): 4287-4294. doi: 10.11999/JEIT240275

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Trajectory and Resource Allocation Optimization for Unmanned Aerial Vehicles Assisted Communications in Unlicensed Bands

doi: 10.11999/JEIT240275

PAN Yu¹,
HU Hang²,
JIN Hu¹,
LEI Yingke¹,
FENG Hui¹,
JIANG Li^{1
,
,},
ZHANG Mengbo¹

1.
School of Electronic Countermeasures, National University of Defense Technology, Hefei 230031, China
2.
Information and Navigation College, Aire Force Engineering University, Xi’an 710082, China

Funds: Shaanxi Province Natural Science Basic Research Program (2024JC-YBMS-514)

Received Date: 2024-04-15
Rev Recd Date: 2024-08-30

Available Online: 2024-09-09

Publish Date: 2024-11-10

Abstract

Abstract

To solve the bottleneck problem of constrained spectrum resource for Unmanned Aerial Vehicles (UAVs) in unlicensed bands, a co-optimization scheme high spectral efficiency in underlay mechanism is proposed for UAV-assisted monitoring communication networks in urban environment. Considering the high maneuverability of UAVs, the air-to-ground channel is modeled as a probabilistic Line-of-Sight (LoS) channel, and the co-channel interference and maximum speed constraints are adopted to formulate a hybrid resource optimization model for power allocation and trajectory planning, enabling UAVs to construct the fast transmission scheme for monitoring data with occupied spectrum within the given time. The original problem is an NP-hard and non-convex integer problem, which is first decomposed into a two-layer programming problem, and then solved by applying the slack variable and Successive Convex Approximation (SCA) technologies to transform the trajectory design problem into a convex programming problem. Compared with the Particle Swarm Optimization (PSO) algorithm, the proposed joint optimization scheme is verified to improve the spectral efficiency by up to about 19% in simulations. For high-dimensional trajectory planning problems, the SCA-based algorithm is proved to have lower complexity and faster convergence.
- Unmanned Aerial Vehicle (UAV) communication,
- Spectrum sharing,
- Trajectory planning,
- Convex optimization

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References(15)

References

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