中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices

文献类型:期刊论文

作者Wu, Huangwei3; Fan, Tingchao3; Jin, Meng2; Chen, Tao1; Wang, Xinbing3; Zhou, Chenghu4
刊名IEEE TRANSACTIONS ON NETWORKING
出版日期2026
卷号34页码:3013-3028
关键词Antenna arrays Internet of Things Wireless communication Receivers Transmitters Communication system security Training Channel impulse response Channel estimation Microphones IoT security acoustic DL-based communication
DOI10.1109/TON.2025.3650658
产权排序4
文献子类Article
英文摘要This paper tries to answer a question: Can we achieve spatial-selective transmission on IoT devices? A positive answer would enable more secure data transmission among IoT devices. The challenge, however, is how to manipulate signal propagation without relying on beamforming antenna arrays which are usually unavailable on low-end IoT devices. We give an affirmative answer by introducing SpotSound, a novel acoustic communication system that exploits the diversity of multi-path indoors as a natural beamformer. By judiciously controlling the way how the information is embedded into the signal, SpotSound can make the signal decodable only when the signal propagates along a certain multipath channel. Since the multipath channel decorrelates rapidly over the distance between receivers, SpotSound can ensure the signal is decodable only at the target position, achieving precise physical isolation. SpotSound is a purely software-based solution that can run on most IoT devices where speakers and microphones are widely used. We implement SpotSound on Raspberry Pi connected with COTS microphone and speaker. Experimental results show that SpotSound could precisely focus its signal on spots with customized sizes ranging from 0.04m(2) to 0.5m(2) .
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WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:001680959100003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/220928]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Jin, Meng
作者单位1.Univ Pittsburgh, Comp Sci Dept, Pittsburgh, PA 15260 USA;
2.Shanghai Jiao Tong Univ, Sch Artificial Intelligence, Shanghai 200240, Shanghai, Peoples R China;
3.Shanghai Jiao Tong Univ, Sch Informat Sci & Elect Engn, Shanghai 200240, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wu, Huangwei,Fan, Tingchao,Jin, Meng,et al. Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices[J]. IEEE TRANSACTIONS ON NETWORKING,2026,34:3013-3028.
APA Wu, Huangwei,Fan, Tingchao,Jin, Meng,Chen, Tao,Wang, Xinbing,&Zhou, Chenghu.(2026).Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices.IEEE TRANSACTIONS ON NETWORKING,34,3013-3028.
MLA Wu, Huangwei,et al."Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices".IEEE TRANSACTIONS ON NETWORKING 34(2026):3013-3028.

入库方式: OAI收割

来源:地理科学与资源研究所

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