Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...

Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. However, data heterogeneity in wireless signals and data privacy regulation of distributed sensing have been considered as the ma...

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Bibliographic Details
Main Authors: Zhu, Huixiang, Xiao, Yong, Li, Yingyu, Shi, Guangming, Saad, Walid
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2023
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2312.05043
https://arxiv.org/abs/2312.05043
id ftdatacite:10.48550/arxiv.2312.05043
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2312.05043 2024-01-28T10:06:43+01:00 Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ... Zhu, Huixiang Xiao, Yong Li, Yingyu Shi, Guangming Saad, Walid 2023 https://dx.doi.org/10.48550/arxiv.2312.05043 https://arxiv.org/abs/2312.05043 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Networking and Internet Architecture cs.NI Artificial Intelligence cs.AI FOS Computer and information sciences Article Preprint CreativeWork article 2023 ftdatacite https://doi.org/10.48550/arxiv.2312.05043 2024-01-04T22:46:45Z Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. However, data heterogeneity in wireless signals and data privacy regulation of distributed sensing have been considered as the major challenges that hinder the wide applications of wireless sensing in large area networking systems. Motivated by the observation that signals recorded by wireless receivers are closely related to a set of physical-layer semantic features, in this paper we propose a novel zero-shot wireless sensing solution that allows models constructed in one or a limited number of locations to be directly transferred to other locations without any labeled data. We develop a novel physical-layer semantic-aware network (pSAN) framework to characterize the correlation between physical-layer semantic features and the sensing data distributions across different receivers. We then propose a pSAN-based zero-shot learning solution in ... : accepted at IEEE International Conference on Network Protocols (ICNP) Workshop, Reykjavik, Iceland, October 10-13, 2023 ... Article in Journal/Newspaper Iceland DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Networking and Internet Architecture cs.NI
Artificial Intelligence cs.AI
FOS Computer and information sciences
spellingShingle Networking and Internet Architecture cs.NI
Artificial Intelligence cs.AI
FOS Computer and information sciences
Zhu, Huixiang
Xiao, Yong
Li, Yingyu
Shi, Guangming
Saad, Walid
Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
topic_facet Networking and Internet Architecture cs.NI
Artificial Intelligence cs.AI
FOS Computer and information sciences
description Device-free wireless sensing has recently attracted significant interest due to its potential to support a wide range of immersive human-machine interactive applications. However, data heterogeneity in wireless signals and data privacy regulation of distributed sensing have been considered as the major challenges that hinder the wide applications of wireless sensing in large area networking systems. Motivated by the observation that signals recorded by wireless receivers are closely related to a set of physical-layer semantic features, in this paper we propose a novel zero-shot wireless sensing solution that allows models constructed in one or a limited number of locations to be directly transferred to other locations without any labeled data. We develop a novel physical-layer semantic-aware network (pSAN) framework to characterize the correlation between physical-layer semantic features and the sensing data distributions across different receivers. We then propose a pSAN-based zero-shot learning solution in ... : accepted at IEEE International Conference on Network Protocols (ICNP) Workshop, Reykjavik, Iceland, October 10-13, 2023 ...
format Article in Journal/Newspaper
author Zhu, Huixiang
Xiao, Yong
Li, Yingyu
Shi, Guangming
Saad, Walid
author_facet Zhu, Huixiang
Xiao, Yong
Li, Yingyu
Shi, Guangming
Saad, Walid
author_sort Zhu, Huixiang
title Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
title_short Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
title_full Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
title_fullStr Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
title_full_unstemmed Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing ...
title_sort physical-layer semantic-aware network for zero-shot wireless sensing ...
publisher arXiv
publishDate 2023
url https://dx.doi.org/10.48550/arxiv.2312.05043
https://arxiv.org/abs/2312.05043
genre Iceland
genre_facet Iceland
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2312.05043
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