ML-Driven Resource Optimization in Active-Star-RIS-Aided THz ISAC Systems with DDA Modulation-Reference-Cited by-同舟云学术

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ML-Driven Resource Optimization in Active-Star-RIS-Aided THz ISAC Systems with DDA Modulation

Published:2024-06-09 Issue: Volume: Page:2901-2906
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Kurma Sravani¹,Singh Keshav¹,Mumtaz Shahid²,Tsiftsis Theodoros A.³,Li Chih-Peng¹

Affiliation:

1. Institute of Communications Engineering, National Sun Yat-sen University,Kaohsiung,Taiwan

2. Nottingham Trent University,Department of Engineering,Nottingham,United Kingdom,NG14FQ

3. University of Thessaly,Department of Informatics and Telecommunications,Lamia,Greece,35100

Funder

National Science and Technology Council of Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622984.pdf?arnumber=10622984

Reference12 articles.

1. Joint beamforming optimization for active STAR-RIS assisted ISAC systems;Zhang;arXiv,2023

2. Integrated Scheduling of Sensing, Communication, and Control for mmWave/THz Communications in Cellular Connected UAV Networks

3. Performance and Optimization of Reconfigurable Intelligent Surface Aided THz Communications

4. Hybrid Beamforming for RIS-Empowered Multi-hop Terahertz Communications: A DRL-based Method

5. Active Reconfigurable Intelligent Surface-Assisted MISO Integrated Sensing and Communication Systems for Secure Operation

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