Deep Learning-Based Design of Uplink Integrated Sensing and Communication-Reference-Cited by-同舟云学术

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Deep Learning-Based Design of Uplink Integrated Sensing and Communication

Published:2024-09 Issue:9 Volume:23 Page:10639-10652
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Qi Qiao¹^ORCID,Chen Xiaoming²^ORCID,Zhong Caijun¹^ORCID,Yuen Chau²^ORCID,Zhang Zhaoyang³^ORCID

Affiliation:

1. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

3. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10678775/10472418.pdf?arnumber=10472418

Reference32 articles.

1. DL-based Joint Waveform and Beamforming Design for Integrated Sensing and Communication

2. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

3. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

4. Integrated Sensing and Communication in 6G: Motivations, Use Cases, Requirements, Challenges and Future Directions

5. Time-Division ISAC Enabled Connected Automated Vehicles Cooperation Algorithm Design and Performance Evaluation

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