The last few years have witnessed a tremendous growth of the demand for wireless services and a significant increase of the number of mobile subscribers. A recent data traffic forecast from Cisco reported that the global mobile data traffic reached 1.2 zettabytes per year in 2016, and the global IP traffic will increase nearly threefold over the next 5 years. Based on these predictions, a 127-fold increase of the IP traffic is expected from 2005 to 2021. It is also anticipated that the mobile data traffic will reach 3.3 zettabytes per year by 2021, and that the number of mobile-connected devices will reach 3.5 per capita.
With such demands for higher data rates and for better quality of service (QoS), fifth generation (5G) standardization initiatives, whose initial phase was specified in June 2018 under the umbrella of Long Term Evolution (LTE) Release 15, have been under vibrant investigation. In particular, the International Telecommunication Union (ITU) has identified three usage scenarios (service categories) for 5G wireless networks: (i) enhanced mobile broadband (eMBB), (ii) ultra-reliable and low latency communications (uRLLC), and (iii) massive machine type communications (mMTC). The vast variety of applications for beyond 5G wireless networks has motivated the necessity of novel and more flexible physical layer (PHY) technologies, which are capable of providing higher spectral and energy efficiencies, as well as reduced transceiver implementations.
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Special Session Submission Deadline: January 28, 2019
Special Session Notification: February 18, 2019
The Special Interest Group on Discourse and Dialogue (SIGDIAL) organizers welcome the submission of special session proposals.
A SIGDIAL special session is the length of a regular session at the conference, and may be organized as a poster session, a panel session, a poster session with panel discussion, or an oral presentation session.
Special sessions may, at the discretion of the SIGDIAL organizers, be held as parallel sessions.
The papers submitted to special sessions are handled by the special session organizers, but for the submitted papers to be in the SIGDIAL proceedings, they have to undergo the same review process as regular papers. The reviewers for the special session papers will be taken from the SIGDIAL program committee itself, taking into account the suggestions of the session organizers, and the program chairs will make acceptance decisions. In other words, special session organizers decide what appears in the session, while the program chairs decide what appears in the proceedings and the rest of the conference program.
We welcome special session proposals on any topic of interest to the discourse and dialogue communities. Topics of interest include, but are not limited to Explainable AI, Evaluation, Annotation, and End‐to‐end systems.
Those wishing to organize a special session should prepare a two-page proposal containing: a summary of the topic of the special session; a list of organizers and sponsors; a list of people who may submit and participate in the session; and a requested format (poster/panel/oral session).
These proposals should be sent to email@example.com by the special session proposal deadline. Special session proposals will be reviewed jointly by the general chair and program co‐chairs.
Those wishing to propose a special session may want to look at some of the sessions organized at recent SIGDIAL meetings.
SIGDIAL 2019 Organizing Committee
Satoshi Nakamura, Nara Institute of Science and Technology, Japan
Milica Gašić, Cambridge University, UK
Ingrid Zukerman, Monash University, Australia
Gabriel Skantze, KTH, Sweden
Mikio Nakano, Honda Research Institute Japan, Japan
Alex Papangelis, Uber AI, USA
Stefan Ultes, Daimler AG, Germany
Koichiro Yoshino, Nara Institute of Science and Technology, Japan
Jason Williams, Apple, USA
SIGdial Vice President:
Kallirroi Georgila, University of Southern California, USA
Vikram Ramanarayanan, Educational Testing Service (ETS) Research, USA
Ethan Selfridge, Interactions, USA
SIGdial President Emeritus:
Amanda Stent, Bloomberg, USA
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