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5.5G EIT@IEEE VTC 2022 : 1st IEEE Workshop on Electromagnetic Information Theory towards 5G-Advanced in IEEE VTC2022-Spring

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Link: https://vtc2022s-rr-wks.trackchair.com/track/2052
 
When Jun 19, 2022 - Jun 22, 2022
Where Helsinki, Finland
Submission Deadline Feb 24, 2022
Notification Due Apr 17, 2022
Final Version Due May 1, 2022
Categories    wireless communications   information theory   electromagnetism   MIMO
 

Call For Papers

Topics of Interest
In order to meet the immensely higher data rate, reliability, and traffic demands in the future 5G-Advanced communications, novel communication frameworks are rapidly emerging to fully utilize the electromagnetic waves, including holographic MIMO, extremely large antenna arrays, reconfigurable intelligent surfaces, etc. The ultimate limitation of the channel capacity and the ways to achieve this capacity are two fundamental questions in the system design. However, current design and performance analysis methods are usually based on the scalar-quantity, far-field, planar-wavefront, monochromatic and other nonphysically-consistent assumptions, which may cause mismatch between the system design and the realistic propagation environment.

To solve this problem, the emerging electromagnetic information theory (EIT) is proposed and has attracted increasing interests from both academia and industry. By integrating the statistical information theory with the deterministic electromagnetic theory, it is able to build a more physically consistent communication model and establish more fundamental limitations on the communication systems. It is expected that EIT will bring brand new theoretical analysis and system design paradigms to the future wireless communications.

While research into EIT for the future wireless communications are still in the early stage, this workshop calls for contributions on the following topics of interest, including but not limited to:
EIT based Theoretical Analysis
 Channel capacity analysis
 Degree of freedom of the time, frequency, and spatial domain
 Characteristic mode analysis
 Performance evaluation
EIT based Channel Modeling
 Physics consistent channel modeling
 Computational electromagnetics based channel modeling
 Circuit theory based channel modeling
 Reactive near field, radiating near field and far field channel modeling
EIT based Signal Processing
 Beamforming for both near and far field
 Channel estimation for both near and far field
 Interference cancellation
 Joint system optimization
EIT based Antenna Design
 Holographic MIMO, continuous-aperture MIMO
 Extremely large antenna arrays, large intelligent surfaces
 Reconfigurable antennas, reconfigurable intelligent surfaces
 Electromagnetic metasurfaces

Guide for Authors
Authors are invited to submit their original and unpublished papers within 5 pages and up to 2 additional pages with additional charges.
To submit your paper, please click on the following link:
Submission Link: https://vtc2022s-rr-wks.trackchair.com/track/2052
For more information about the workshop, please refer to:
https://events.vtsociety.org/vtc2022-spring/conference-sessions/call-for-workshops/w17-1st-ieee-workshop-on-electromagnetic-information-theory-towards-5g-advanced-5-5g-eit/
The conference template can be downloaded here:
https://www.ieee.org/conferences/publishing/templates.html

Important Dates
Paper Submission Deadline: 24 February 2022
Paper Acceptance Notification: 17 April 2022
Camera Ready: 1 May 2022

General Chairs
Marco Di Renzo, CNRS & Paris-Saclay University, France
Linglong Dai, Tsinghua University, China
Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Tengjiao Wang, Huawei Technologies, China

Technical Program Committee
Jiyong Pang, Huawei Technologies, China
Wei E. I. Sha, Zhejiang University, China
Pei Xiao, University of Surrey, UK
Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Zhimeng Zhong, Huawei Technologies, China
Anxue Zhang, Xi’an Jiaotong University, China
Hongjing Xu, Huawei Technologies, China
Shigang Zhou, Northwestern Polytechnical University, China
Fenghan Lin, ShanghaiTech University, China
Marco Di Renzo, CNRS & Paris-Saclay University, France

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