Optimal AI Model Splitting and Resource Allocation for Device-Edge Co-Inference in Multi-User Wireless Sensing Systems-Reference-Cited by-同舟云学术

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Optimal AI Model Splitting and Resource Allocation for Device-Edge Co-Inference in Multi-User Wireless Sensing Systems

Published:2024-09 Issue:9 Volume:23 Page:11094-11108
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Li Xian¹^ORCID,Bi Suzhi¹^ORCID

Affiliation:

1. State Key Laboratory of Radio Frequency Heterogeneous Integration, Guangdong Provincial Engineering Center for Ubiquitous Computing and Intelligent Networking, and the College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678775/10478867.pdf?arnumber=10478867

Reference35 articles.

1. WiFi Sensing with Channel State Information

2. Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions

3. Widar3.0: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

4. DeFi: Robust Training-Free Device-Free Wireless Localization With WiFi

5. WS-WiFi: Wired Synchronization for CSI Extraction on COTS-WiFi-Transceivers

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1. Integrated Sensing and Communication Enabled Multidevice Multitarget Cooperative Sensing: A Fairness-Aware Design;IEEE Internet of Things Journal;2024-09-01

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