(We apology for possible cross-posting)

Call for Papers: IEEE Transactions on Cognitive Communications and
Networking
Special Issue on Intelligent Resource Management for 5G and Beyond

https://www.comsoc.org/publications/journals/ieee-tccn/cfp/intelligent-resource-management-5g-and-beyond

Deadline extended to: 1 September 2019

The International Telecommunication Union (ITU) has identified three broad
use cases: enhanced mobile broadband (eMBB), ultra-reliable and low-latency
communication (uRLLC), and massive machine-type communications (mMTC). 5G
networks are expected to allow the coexistence of these use cases over the
same physical infrastructure. Due to diversified and stringent service
requirements in different use cases, 5G and beyond-5G need an intelligent
way of managing the various physical resources including computing,
networking and storage resources. The resources allocated to each service
should meet the requirement precisely while at the same time maximising the
resource utilisation of the physical infrastructure.

5G not only involves radio part, but also core network, Internet and
datacenter parts. Different from the existing works focusing on either
radio part or core part, this special issue focuses on the end-to-end
intelligent resource management, from radio access networks to core
networks (and up to datacenter networks). That is because end-to-end
performance needs to be guaranteed to provide satisfactory QoS for
diversified services with different requirements in 5G and beyond.
Reciprocal effects may exist among different services vertically, and also,
for the same service, between radio access networks and core networks
horizontally; this cannot be ignored and need to be learned and considered
cognitively for resource allocation and scheduling in 5G and beyond.

In addition, from 3GPP Release 15 to Release 16, the control plane and user
plane splitting has been planned for more functionalities in the core
network to satisfy the stringent requirements of uRLLC use cases. The
intelligent resource management for the involved functionalities of a
service is an emerging challenge to be addressed by the network and Telcom
research community.

Learning from massive network data to produce cognitive knowledge for the
end-to-end resource management in 5G is still cumbersome; real-time network
management is still far from mature for the services with stringent
requirements in 5G and beyond. Many research challenges still need to be
addressed to achieve a fully intelligent resource management for 5G and
beyond networks.

This special issue is devoted to the most recent developments and research
outcomes addressing the related theoretical and practical aspects on
intelligent resource management for 5G and beyond, and it also aims to
provide worldwide researchers and practitioners an ideal platform to
innovate new solutions targeting at the corresponding key challenges.
Topics of interest include, but are not limited to:
- Architectures for end-to-end cognitive network/resource management for 5G
and beyond
- Machine learning algorithms and solutions for end-to-end intelligent
resource management
- Deep learning and data mining in end-to-end intelligent resource
management
- Scalability of end-to-end intelligent resource management for 5G and
beyond
- Autonomic monitoring and measurements in end-to-end intelligent resource
management for 5G and beyond
- Autonomic analysis, autonomic and execution in end-to-end intelligent
resource management for 5G and beyond
- Sustainability of end-to-end intelligent resource management for 5G and
beyond
- End-to-end QoS/QoE/SLA guarantee in intelligent resource management for
5G and beyond
- Knowledge base for end-to-end intelligent resource management for 5G and
beyond
- Intelligent network management for 5G and beyond
- Security, privacy and trust for end-to-end intelligent resource
management for 5G and beyond

Submission Guidelines
Authors are invited to submit original and previously unpublished works.
Submissions should follow the author guidelines of IEEE Transactions on
Cognitive Communications and Networking. The complete instructions for
prospective authors can be found on the IEEE TCCN Manuscript Central page.
All submissions will undergo initial screening by the Guest Editors for fit
to the theme of the Special Issue.

Important Date
- Submission Deadline: 1 September 2019
- First Reviews Complete: 1 November 2019
- Revision Due: 15 December 2020
- Final Review Decision: 15 January 2020
- Final Papers to Publisher: 31 January 2020
- Expected Publication: Second Quarter 2020

Guest Editors
Yulei Wu, University of Exeter, United Kingdom
Dimitra Simeonidou, University of Bristol, United Kingdom
Cheng-Xiang Wang, Southeast University, China
Richard Yu, Carleton University, Canada
Sunghyun Choi, Seoul National University, Korea
Guoliang Xue, Arizona State University, USA
Adlen Ksentini, EUROCOM, France


--
Dr. Yulei Wu, PhD, SMIEEE, FHEA
Senior Lecturer, Computer Science
College of Engineering, Mathematics and Physical Sciences
University of Exeter, UK
http://empslocal.ex.ac.uk/people/staff/yw433/

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