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SS and RRM for Future 5G 2020 : Special Issue on Smart Spectrum and Radio Resource Management for Future 5G Networks

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Link: https://www.journals.elsevier.com/computer-networks/call-for-papers/smart-spectrum-and-radio-resource
 
When N/A
Where N/A
Submission Deadline Feb 29, 2020
Notification Due May 31, 2020
Final Version Due Jun 30, 2020
 

Call For Papers

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CALL FOR PAPERS

Special Issue on
Smart Spectrum and Radio Resource Management for Future 5G Networks

Computer Networks (Elsevier)

https://www.journals.elsevier.com/computer-networks/call-for-papers/smart-spectrum-and-radio-resource

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The last few years have witnessed a significant increase in the use of portable
computing devices such as smartphones, tablets and laptops for enhanced Mobile
Broadband (eMBB) services in addition to the introduction of machine-type
devices interconnected through the Internet of Things (IoT) for massive Machine
Type Communications (mMTC) as well as novel services that require Ultra-Reliable
Low-Latency Communication (URLLC). The emergence of this range of innovative
mobile applications and online services pose unprecedented challenges to the
fifth generation of mobile networks (5G), which are thus required to introduce
new solutions and mechanisms to optimise the use of the finite radio spectrum
resources. Some of the key enabling technologies to overcome this challenging
scenario include the introduction of a New Radio (NR) interface in millimetre-wave
(mmWave) bands, which embraces recent techniques such as massive Multiple-Input
Multiple-Output (massive MIMO) and beamforming. While these techniques are
foreseen as key solutions to optimize the use of the 5G spectrum and enable
the envisaged use-case scenarios, mmWave links are highly vulnerable and
unreliable and therefore some advanced solutions are required, possibly
including some form of back-up at more reliable sub-6 GHz bands, based on
Dynamic Spectrum Access (DSA) methods enabled by the Cognitive Radio (CR)
paradigm. Moreover, over the last years, the industrial, academic and
regulatory communities have addressed the problem of efficiently exploiting
existing and available spectrum radio resources in order to meet the 5G
performance requirements and thus facilitate the 5G network concept. In
addition to the new requirements of increased network capacity, reliability
and latency, future networks are still expected to meet requirements of energy
efficiency and heterogeneity of user terminals and Quality of Service/Experience
(QoS/QoE) demands.

In this context, a key challenge is to develop novel and smart spectrum and radio
resource management paradigms for an efficient spectrum exploitation taking into
account the abovementioned aspects. The purpose of this special issue is to gather
the latest developments and recent advances in the field of smart spectrum and
radio resource management for future 5G networks. Prospective authors are invited
to submit original manuscripts that advance the state of the art on topics including,
but not limited to:

* Smart radio resource allocation mechanisms for spectrum and energy efficiency
in 5G networks
* Network cooperation techniques for 5G networks
* Network architectures and protocols for efficient exploitation of spectrum
resources in 5G
* Self-configuring and self-organizing DSA/CR-based devices for 5G
* Cooperative spectrum sensing algorithms for 5G
* AI and machine learning for radio resource management in 5G networks
* Game-theory based resource allocation schemes in 5G networks
* Interference management and cancelation techniques for 5G
* Smart cross-layer access node allocation mechanisms in 5G networks
* Energy management in 5G networks
* QoS/QoE provisioning methods in 5G networks
* Software Defined Network and Network Function Virtualization for efficient
exploitation of spectrum resources in 5G
* Modelling and simulation for exploitation of spectrum resources in 5G networks
* Experimental results and deployment experiences in outdoor community-scale
platforms


SUBMISSION INSTRUCTIONS
------------------------------------

Submissions will be peer-reviewed by selected experts in the field and judged
based on their relevance to this special issue, level of innovation, depth of
contribution and quality of presentation. Submissions must not substantially
overlap with papers that have been previously published or are currently under
review. When part of the content of the submitted manuscript has appeared in
published conference proceedings or is currently under review for publication
at a conference, authors are required to submit the published/submitted
conference paper along with a summary document explaining how the submitted
manuscript differs from the published/submitted conference paper (in most cases,
conference papers must be substantially extended to meet the standards required
for publication as a journal article).

Authors should adhere to the Guide for Authors of Computer Networks available at:
https://www.elsevier.com/journals/computer-networks/1389-1286/guide-for-authors

Manuscripts should be submitted online through the EVISE platform available at
the following link: https://www.evise.com/profile/api/navigate/COMNET.
Please select the option "VSI: SS and RRM for Future 5G" when prompted for the
article type at the time of submission.


IMPORTANT DATES
------------------------------------

Paper Submission Due: 29 February 2020
First Round Notification: 31 May 2020
Revised Paper Submission: 30 June 2020
Final author notification: 31 August 2020
Tentative Publication Date: 3rd Quarter 2020


GUEST EDITORS
------------------------------------

Miguel López-Benítez, University of Liverpool, United Kingdom (m.lopez-benitez@liverpool.ac.uk)
Alessandro Raschellà, Liverpool John Moores University, United Kingdom (a.raschella@ljmu.ac.uk)
Sara Pizzi, University Mediterranea of Reggio Calabria, Italy (sara.pizzi@unirc.it)
Li Wang, Beijing University of Posts and Telecommunications, China (liwang@bupt.edu.cn)
Marco Di Felice, University of Bologna, Italy (marco.difelice3@unibo.it)
Kaushik Roy Chowdhury, Northeastern University, United States of America (krc@ece.neu.edu)

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