SS-L4.5
POWER CONSUMPTION REDUCTION IN ELAA-ASSISTED ISAC SYSTEMS
Xiaomin Cao, Mohammadali Mohammadi, Hien Q. Ngo, Michail Matthaiou, Queen's University Belfast, United Kingdom of Great Britain and Northern Ireland
Session:
SS-L4: Signal Processing for Extremely Large MIMO (XL-MIMO) Systems Oral
Track:
Special Sessions
Location:
Room 111
Presentation Time:
Wed, 6 May, 10:20 - 10:40
Presentation
Discussion
Resources
No resources available.
Session SS-L4
SS-L4.1: A Low-Rank Angular Domain Sampling SVD Approximation for Massive MIMO Signal Processing
Kaixuan Bao, Guosheng Ling, Wei Xu, Zheng Wang, Yongming Huang, National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China, China
SS-L4.2: A CONVEX DEMIXING APPROACH FOR HYBRID-FIELD CHANNEL ESTIMATION OF XL-MIMO SYSTEMS VIA ATOMIC NORM MINIMIZATION
Dehui Yang, Xi’an Jiaotong-Liverpool University, China; Feng Xi, Yanxian Zhu, Nanjing University of Science and Technology, China
SS-L4.3: Tri-Hybrid Beamforming Design for Integrated Sensing and Communications
Tianyu Fang, Mengyuan Ma, Markku Juntti, Nhan Nguyen, University of Oulu, Finland
SS-L4.4: UNSUPERVISED ADAPTATION OF AI DOA ESTIMATORS VIA DOWNSTREAM TRACKING
Shaul Konstantino, Ben-Gurion University of the Negev, Israel; Lei Li, University of Bologna, Italy; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Davide Dardari, University of Bologna, Italy
SS-L4.5: POWER CONSUMPTION REDUCTION IN ELAA-ASSISTED ISAC SYSTEMS
Xiaomin Cao, Mohammadali Mohammadi, Hien Q. Ngo, Michail Matthaiou, Queen's University Belfast, United Kingdom of Great Britain and Northern Ireland
SS-L4.6: INTEGRATING STACKED INTELLIGENT METASURFACES AND POWER CONTROL FOR DYNAMIC EDGE INFERENCE VIA OVER-THE-AIR NEURAL NETWORKS
Kyriakos Stylianopoulos, George Alexandropoulos, National and Kapodistrian University of Athens, Greece
Contacts