SOCRT 2016 - Elsevier Physical Communication Special Issue on “Self-optimizing Cognitive Radio Technologies”

Elsevier Physical Communication Special Issue on “Self-optimizing Cognitive Radio Technologies”. Please accept our apologies if you receive multiple copies of this announcement (http://www.journals.elsevier.com/physical-communic...).
SCOPE of the Special Issue:
Cognitive Radio (CR) is emerging as the dominant solution for the scarce spectrum in the near future since CR has the ability to provide high bandwidth to wireless users via heterogeneous wireless networks and dynamic spectrum access techniques. However, the biggest challenges awaiting for CR networks are generated by factors like the ever-increasing complexity of network architecture, the high-scale complexity of configuring and managing large-scale dynamic networks, the unstable nature of the available spectrum, dissimilar QoS requirements of various users, and the escalating complications of centralized control for cognitive users from diverse networks. Hence extensive measures have to be developed to deal with the aforementioned challenges in order to maximize the ‘take home pay’ of cognitive radio technologies. Self-optimizing technologies for cognitive users are of paramount interest in this context.
The goal of this special issue is to present original research articles previously unpublished and not currently under review by another journal that address various challenges and advance the design of Self-optimizing Cognitive Radio Technologies. In particular, the topic of interest includes but is not limited to
?New theories, architectures, or models for cognitive radios
?Capacity analysis for cognitive radio communications
?Spectrum sensing and management for cognitive radios
?Cognitive medium access control, scheduling and routing protocols
?Transport layer design, TCP extensions for cognitive radio networks
?Joint route and spectrum allocation, adaptive cross-layer design and optimized resource management
?Cooperative communication and networking among cognitive radios
?Security challenges in cognitive radios including security in the physical-layer
?Game theory, economics of deployment, and machine learning
?Application scenarios and emerging markets over cognitive radios, such as environmental monitoring, smart grids, emergency responders, disaster recovery, high bandwidth multimedia communication, military deployment, and homeland security among others
?Multi-interface cognitive radio and interface allocation
?Self-powered cognitive systems including energy harvesting and green communications technologies
Important dates
Submission deadline: 30 June 2015
Acceptance deadline: 30 November 2015
Publication: 28 February 2016
Editor in Chief
Ian F. Akyildiz, Georgia Institute of Technology, USA
Guest Editors
Dr. Kai-Kit Wong, University College London, kai-kit.wong-AT-ucl.ac.uk
Prof. Haitao Zhao, National University of Defense technology, haitaozhao-AT-nudt.edu.cn
Prof. Shamik Sengupta, University of Nevada, Reno, ssengupta-AT-unr.edu
Dr. Muhammad R. A. Khandaker, University College London, m.khandaker-AT-ucl.ac.uk
Submission Format and Guideline
All submitted papers must be clearly written in excellent English and contain only original work, which has not been published by or is currently under review for any other journal or conference. Papers must not exceed 25 pages (one-column, at least 11pt fonts) including figures, tables, and references. A detailed submission guideline is available as “Guide to Authors” at: http://www.journals.elsevier.com/physical-communic...
All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select as “SI: SELFOPT COGRADIO TECH” when they reach the “Article Type” step in the submission process. The EES website is located at: http://ees.elsevier.com/phycom
All papers will be peer-reviewed by three independent reviewers. Requests for additional information should be addressed to the guest editors.