Optimizing Reconfigurable Intelligent Surface-Assisted Distributed Wireless Sensing-Reference-Cited by-同舟云学术

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Optimizing Reconfigurable Intelligent Surface-Assisted Distributed Wireless Sensing

Published:2024-06-09 Issue: Volume: Page:2476-2481
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Li Chaofan¹,Zhu Huixiang¹,Xiao Yong¹,Li Yingyu²,Niyato Dusit³,Sun Sumei⁴,Saad Walid⁵

Affiliation:

1. School of Elect. Inform. & Commun., Huazhong Univ. of Science & Technology,China

2. School of Mech. Eng. and Elect. Inform., China University of Geosciences,China

3. School of Computer Science and Engineering, at Nanyang Technological University,Singapore

4. Institute for Infocomm Research, A*STAR,Singapore

5. Virginia Tech,Bradley Department of Electrical and Computer Engineering,VA,USA

Funder

National Natural Science Foundation of China (NSFC)

U.S. National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622530.pdf?arnumber=10622530

Reference20 articles.

1. Toward Self-Learning Edge Intelligence in 6G

2. Distributed Optimization for Energy-Efficient Fog Computing in the Tactile Internet

3. Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences

4. Wireless Sensing for Human Activity: A Survey

5. WiDE: WiFi Distance based Group Profiling Via Machine Learning

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