共 50 条
UAV-Aided Short-Packet Covert Data Collection
被引:0
作者:
Yang, Fangtao
[1
]
Zhao, Nan
[1
]
Liu, Mingqian
[2
]
Deng, Na
[1
]
Nallanathan, Arumugam
[3
,4
]
机构:
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[4] Kyung Hee Univ, Dept Elect Engn, Yongin 17104, Gyeonggi Do, South Korea
基金:
中国国家自然科学基金;
关键词:
Autonomous aerial vehicles;
Internet of Things;
Data collection;
Trajectory;
Uncertainty;
Performance evaluation;
Upper bound;
Estimation error;
Error probability;
Decoding;
Covert communication;
covert transmission rate;
data collection;
short packet;
unmanned aerial vehicle;
RESOURCE-ALLOCATION;
POWER DESIGN;
COMMUNICATION;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This correspondence investigates an unmanned aerial vehicle (UAV)-assisted short-packet covert data collection, where one UAV collects private information from multiple ground Internet of Things (IoT) devices and a ground warden detects if IoT devices are transmitting. The covertness bounding is first analyzed with the consideration of the location and channel uncertainties of the warden. Then, an optimization problem is formulated to maximize the minimum average covert transmission rate by jointly determining the device scheduling, the transmit power of IoT devices and the trajectory of UAV subject to the covertness constraint. We propose an iterative suboptimal algorithm based on the block coordinate descent and successive convex optimization to tackle the non-convex problem. The effectiveness of the proposed scheme is validated via simulation results.
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页码:6662 / 6667
页数:6
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