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AAV Virtual Antenna Array Deployment for Uplink Interference Mitigation in Data Collection Networks

delete2024-01-01
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PRE
AI
H
Hongjuan Li
H
Hui Kang
G
Geng Sun *
J
Jiahui Li *
J
Jiacheng Wang
王雪 (Xue Wang)
D
Dusit Niyato
V
Victor C. M. Leung
DOI:10.1109/JIOT.2024.3514887delete
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摘要

摘要

En 中文
Autonomous aerial vehicles (AAVs) have gained considerable attention as a platform for establishing aerial wireless networks and communications. However, the Line of Sight (LoS) dominance in air-to-ground (A2G) communications often leads to significant interference with terrestrial networks, reducing communication efficiency among terrestrial terminals. This article explores a novel uplink interference mitigation approach based on the collaborative beamforming (CB) method in multi-AAV network systems. Specifically, the AAV swarm forms an AAV-enabled virtual antenna array (VAA) to achieve the transmissions of gathered data to multiple base stations (BSs) for data backup and distributed processing. However, there is a tradeoff tradeoff between the effectiveness of CB-based interference mitigation and the energy conservation of AAVs. Thus, by optimizing the excitation current weights and hover position of AAVs as well as the sequence of data transmission to various BSs, we formulate an uplink interference mitigation multiobjective optimization problem (MOOP) to decrease interference affection, enhance transmission efficiency, and improve energy efficiency, simultaneously. In response to the computational demands of the formulated problem, we introduce an evolutionary computation method, namely chaotic nondominated sorting genetic algorithm II (CNSGA-II) with multiple improved operators. The proposed CNSGA-II efficiently addresses the formulated MOOP, outperforming several other comparative algorithms, as evidenced by the outcomes of the simulations. Moreover, the proposed CB-based uplink interference mitigation approach can significantly reduce the interference caused by AAVs to nonreceiving BSs.
Keyword:
Collaborative beamforming (CB)
evolu-tionary computation
interference mitigation
multiobjective optimization
multiobjective optimization
autonomous aerial vehicle (AAV) network
autonomous aerial vehicle (AAV) network
autonomous aerial vehicle (AAV) network

期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

机构

N
Nanyang Technological University
学者数:
4.9W
论文数: 4.8W
被引数: 8.1W
M
ministry of education - china
学者数:
2.5W
论文数: 1.0W
被引数: 13
J
Jilin University
学者数:
8.7W
论文数: 5.6W
被引数: 8.9K
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