Energy-Efficient Beamforming for IRS Aided Integrated Sensing and Communication
Author:
Affiliation:
1. University of Science and Technology of China,School of Information Science and Technology,Hefei,China
2. The Chinese University of Hong Kong,School of Science and Engineering,Shenzhen,China
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507452.pdf?arnumber=10507452
Reference22 articles.
1. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
2. Integrated Sensing, Computation, and Communication: System Framework and Performance Optimization
3. MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission
4. Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
5. Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming
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