Content Gazette - April 2023 - 16

CALL FOR PAPERS
IEEE Journal of Selected Topics in Signal Processing
Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications
Learning theory has seen success in speech recognition, computer vision, natural language processing and business analytics.
Lately, learning and data-driven approaches are increasingly considered as key enablers for next-generation intelligent
communications and radar systems. For example, to manage the design complexities, capacity, connectivity, and reliability of
next-generation wireless communications, novel design methodologies are moving beyond the causal model-based signal
processing to use learning paradigms leveraging on large-scale databases, full of context and information. A similar trend in seen
in radar where applications of machine learning are no longer limited to merely target classification but increasingly applied to
other aspects of radar design and signal processing. In this context, the recent integrated sensing and communications (ISAC)
paradigm. which offers an integrated solution to spectrum sharing between the radar and communications while meeting the
individual requirements, has emerged as an active applied area for learning theory and techniques. An integrated approach renders
the ISAC design even more difficult because it incorporates different requirements and technical nuances of both systems.
Further, rapid growth in ISAC applications brings forward an inevitable need for more intelligent processing, operation, and
optimization of future systems. To realize this vision of intelligent processing and operation, there is a need to integrate learning
techniques into the design, management, and optimization of ISAC systems. Modern learning techniques provide several
opportunities to enable intelligent ISAC designs while addressing various problems ranging from signal processing, detection,
classification, and recovery to spectrum access, channel modeling, security, resource management, waveform selection/design,
deployment in new scenarios, and application/user behavior analysis. Sensing the fast-paced development of ISAC and the
imminent design issues for large scaled systems, this Special Issue aims to offer the audience of IEEE Journal of Selected Topic
in Signal Processing a compendium of latest research articles on application of learning-based signal processing for ISAC
systems, hitherto not made available. Topics of interest include but are not limited to:
Learning for ISAC waveform design, channel
estimation, receive processing
New learning paradigms for ISAC: deep, adversarial, tensorial,
dropout, transfer learning
Learning for spectrum access, control, and
optimization
Learning for distributed, collaborative, and multi-agent
ISAC
Bandit algorithms for ISAC
Game theoretic approaches for ISAC
Learning for ISAC signal classification, retrieval,
and decoding
Unfolding/unrolling, hybrid model-free and
model-based learning for ISAC applications
Active sensing for ISAC
Editors
to ascertain interest
Cognition, inverse cognition, metacognition for ISAC
Reinforcement learning applications for ISAC, including
resource allocation
Quickest change detection for ISAC
ISAC applications of generative models
Novel optimization applications, including stochastic
optimization, to facilitate learning in ISAC
Graph neural networks for ISAC applications
Hardware-algorithm co-design for ISAC
In addition to technical research results, we invite high-quality submissions of a tutorial or overview nature; we also welcome
creative papers outside the areas listed here but related to the overall scope of the special issue. Prospective authors can contact
the Guest
on topics
that
are not
listed and
should visit
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for information on paper submission. Manuscripts should
be submitted using the Manuscript Central system at http://mc.manuscriptcentral.com/jstsp- ieee and will be peer-reviewed
according to the standard IEEE process. The submission option opens approximately 1 MONTH before the submission deadline.
Important Dates
Submissions due: May 15, 2023
First review: July 31, 2023
Revised manuscript: August 31, 2023
Second review: September 30, 2023
Final decision: October 31, 2023
Publication date: January 2024
Guest Editors
Kumar Vijay Mishra (Lead Editor), Army Research Laboratory, USA, kvm@ieee.org
M. R. Bhavani Shankar, University of Luxembourg, bhavani.shankar @uni.lu
Nuria González-Prelcic, North Carolina State University, USA, ngprelcic@ncsu.edu
Mikko Valkama, Tampere University, Finland, mikko.valkama@tuni.fi
Wei Yu, University of Toronto, Canada, weiyu@comm.utoronto.ca
Björn Ottersten, KTH Sweden, ottersten@kth.se
www.signalprocessingsociety.org [16] APRIL 2023
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/for https://mc.manuscriptcentral.com/jstsp-ieee http://www.uni.lu http://www.signalprocessingsociety.org
Content Gazette - April 2023

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