E-Healthcare Systems: Integrated Sensing, Computing, and Semantic Communication with Physical Layer Security

Fuente: arXiv
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Main Authors: Yang, Yinchao, Yang, Zhaohui, Yuan, Weijie, Liu, Fan, Cao, Xiaowen, Huang, Chongwen, Zhang, Zhaoyang, Shikh-Bahaei, Mohammad
Format: Preprint
Published: 2024
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author Yang, Yinchao
Yang, Zhaohui
Yuan, Weijie
Liu, Fan
Cao, Xiaowen
Huang, Chongwen
Zhang, Zhaoyang
Shikh-Bahaei, Mohammad
author_facet Yang, Yinchao
Yang, Zhaohui
Yuan, Weijie
Liu, Fan
Cao, Xiaowen
Huang, Chongwen
Zhang, Zhaoyang
Shikh-Bahaei, Mohammad
contents This paper introduces an integrated sensing, computing, and semantic communication (ISCSC) framework tailored for smart healthcare systems. The framework is evaluated in the context of smart healthcare, optimising the transmit beamforming matrix and semantic extraction ratio for improved data rates, sensing accuracy, and general data protection regulation (GDPR) compliance, while considering IoRT device computing capabilities. Semantic metrics such as semantic transmission rate and semantic secrecy rate are derived to evaluate data rate performance and GDPR risk, respectively, while the Cramér-Rao Bound (CRB) assesses sensing performance. Simulation results demonstrate the framework's effectiveness in ensuring reliable sensing, high data rates, and secure communication.
format Preprint
id arxiv_https___arxiv_org_abs_2409_20453
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle E-Healthcare Systems: Integrated Sensing, Computing, and Semantic Communication with Physical Layer Security
Yang, Yinchao
Yang, Zhaohui
Yuan, Weijie
Liu, Fan
Cao, Xiaowen
Huang, Chongwen
Zhang, Zhaoyang
Shikh-Bahaei, Mohammad
Signal Processing
This paper introduces an integrated sensing, computing, and semantic communication (ISCSC) framework tailored for smart healthcare systems. The framework is evaluated in the context of smart healthcare, optimising the transmit beamforming matrix and semantic extraction ratio for improved data rates, sensing accuracy, and general data protection regulation (GDPR) compliance, while considering IoRT device computing capabilities. Semantic metrics such as semantic transmission rate and semantic secrecy rate are derived to evaluate data rate performance and GDPR risk, respectively, while the Cramér-Rao Bound (CRB) assesses sensing performance. Simulation results demonstrate the framework's effectiveness in ensuring reliable sensing, high data rates, and secure communication.
title E-Healthcare Systems: Integrated Sensing, Computing, and Semantic Communication with Physical Layer Security
topic Signal Processing
url https://arxiv.org/abs/2409.20453