Special Session 10 会议特别专题 10
Emerging Technologies for Extremely Large-Scale Antenna Array Systems
Description: This special session aims to bring together recent advances in emerging technologies for extremely large-scale antenna array (ELAA) systems, with a focus on new theories, signal processing methods, and practical applications. ELAA is regarded as a key enabling technology for future wireless communications and sensing systems due to its unprecedented spatial degrees of freedom, ultra-high resolution, and strong capability for beam focusing and environment-aware transmission. At the same time, ELAA also introduces many new challenges, including near-field propagation modeling, scalable channel estimation, hybrid far-field and near-field signal processing, hardware impairments, low-complexity and distributed processing, and integrated communication and sensing.
This special session will provide a forum for researchers from academia and industry to present state-of-the-art results on novel signal processing frameworks, optimization methods, learning-based approaches, and hardware-aware designs for ELAA systems. Contributions addressing both theoretical foundations and application-oriented solutions are highly encouraged.
Session organizers
Assoc. Prof. Feng Xi, Nanjing University of Science
and Technology, China
Asst. Prof. Dehui Yang, Xi’an Jiaotong-Liverpool
University, China
Assoc. Prof. Xiaohuan Wu, Nanjing University of
Posts and Telecommunications, China
Prof. Tianyao Huang, University of Science and Technology Beijing, China
The topics of interest include, but are not limited to:
▪ Near-field and hybrid far-/near-field channel modeling for ELAA systems
▪ Channel estimation and beam training for ELAA communications
▪ Extremely large-scale MIMO signal processing and transceiver design
▪ Localization and sensing methods for ELAA systems
▪ Integrated sensing and communication (ISAC) with ELAA
▪ Array calibration, mutual coupling mitigation, and hardware impairment compensation
▪ Sparse, gridless, and super-resolution methods for ELAA parameter estimation
▪ Learning-aided channel acquisition and signal processing for ELAA
▪ RIS-assisted and cell-free architectures with ELAA
▪ Wideband, high-frequency, and terahertz ELAA systems
▪ Low-complexity and scalable optimization methods for ELAA
▪ Distributed and cooperative signal processing for ELAA systems
Submission method
Submit your Full Paper (no less than 5 pages with two colums) or
your paper abstract-without publication (200-400
words) via
Online Submission System, then choose Special
Session 10 (Emerging Technologies for Extremely Large-Scale Antenna Array Systems)
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Introduction of
Session organizers
Assoc. Prof. Feng Xi,
Nanjing University of
Science and Technology, China
Feng Xi received the Ph.D. degree in information and
communication engineering from Nanjing University of
Science and Technology, Nanjing, China. He is
currently an Associate Professor in the Department
of Electrical Engineering, Nanjing University of
Science and Technology. From 2018 to 2019, he was a
visiting scholar in the Preston M. Green Department
of Electrical and Systems Engineering (ESE) at
Washington University in St. Louis (WUSTL). His
research interests include radar signal processing,
statistical signal and array signal processing,
compressive sensing, and convex optimization.
Asst. Prof. Dehui Yang,
Xi’an Jiaotong-Liverpool University, China
Dehui Yang earned his PhD in Electrical Engineering
from Colorado School of Mines in 2018. Before
joining Xi’an Jiaotong-Liverpool University as an
Assistant Professor in 2023, he worked as an applied
scientist at Uber Technologies Inc from 2021 to
2023. Prior to that, he was one of the founding data
scientists at Root Inc. His interests lie in the
general areas of data science, including sparse
signal processing and compressive sensing, and
predictive modeling using statistical machine
learning techniques. He serves as a reviewer for
international journals, including IEEE Transactions
on Signal Processing, IEEE Transactions on Image
Processing, IEEE Transactions on Information Theory,
IEEE Signal Processing Letters, IEEE Journal of
Selected Topics in Signal Processing, Applied and
Computational Harmonic Analysis, and Signal
Processing.
Assoc. Prof. Xiaohuan Wu,
Nanjing University of Posts and Telecommunications,
China
Xiaohuan Wu received the B.S. and Ph.D. degrees from
the College of Telecommunication and Information
Engineering, Nanjing University of Posts and
Telecommunications, Nanjing, China, in 2010 and
2017, respectively, where he is currently an
Associate Professor. His current research interests
include array signal processing, compressive
sensing, millimeter communications and deep
learning.
Prof. Tianyao Huang,
University of Science and Technology Beijing, China
Tianyao Huang received the B.S. degree in telecommunication engineering from the Harbin Institute of Technology, Harbin, China, in 2009, and the Ph.D degree in electronics engineering from the Tsinghua University, Beijing, China, in 2014. From 2014 to 2017, he was a radar Researcher with Aviation Industry Corporation of China, Beijing, China. From 2017 to 2023, he was with the Intelligence Sensing Lab, Department of Electronic Engineering, Tsinghua University, as an Assistant Professor. He is currently a Professor with the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China. His research interests include signal processing, compressed sensing, and joint radar communications system design.