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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10 years of news and resources for members of the IEEE Signal Processing Society
The IEEE Signal Processing Society (SPS) is proud to announce that Prof. Mari Ostendorf has accepted the position of Editor-in-Chief (EIC) of the new IEEE Open Journal of Signal Processing (OJ-SP) - a gold, fully open access journal dedicated to publishing peer-reviewed articles on the latest topics and trends in Signal Processing (SP). IEEE OJ-SP covers the enabling technology for the generation, transformation, extraction, and interpretation of information. It comprises the theory, algorithms with associated architectures and implementations, and applications related to processing information contained in many different formats broadly designated as signals. Signal Processing uses mathematical, statistical, computational, heuristic, and/or linguistic representations, formalisms, modeling techniques and algorithms for generating, transforming, transmitting, and learning from signals.
Professor Ostendorf is a highly respected and well-known member of the SPS and IEEE communities, who is currently an Endowed Professor of System Design Methodologies in the Department of Electrical & Computer Engineering and Associate Vice Provost for Research with the University of Washington, Seattle. She is a member of the Washington State Academy of Sciences and a Fellow of the IEEE, ISCA, and ACL. She has held a plethora of positions within the Society and IEEE, and has volunteered her time to various conference and publication editorial roles such as Associate Editor and Editor-in-Chief for the IEEE Transactions Audio, Speech & Language Processing, member of the Editorial Board of the IEEE Journal of Selected Topics in Signal Processing, and as SPS-VP Publications, during which time she was responsible for the successful launch of two new journals. Her service on many SPS-IEEE committees include: SPS-Board of Governors, SPS-Executive Committee, SPS-Awards Board, IEEE Periodical Review and Advisory Committee, Ad Hoc Committee on Publications Strategy, and IEEE Periodicals Committee, to name a few of her many accomplishments and areas of dedicated service.
A prolific author across journals, books, and conferences, an invited lecturer in academia and industry, a recipient of numerous awards, and supervisor for over 35 doctoral students, Professor Ostendorf specializes in statistical modeling for speech and language processing, including both understanding and generation. Her current research efforts are in dynamic context-aware models, computational models of prosody at the interface of speech and language processing, conversational artificial intelligence, low-resource learning, and language technology for education applications.
Please join us in welcoming Prof. Mari Ostendorf as the EIC of IEEE OJ-SP. She looks forward to your support of this new SPS initiative as authors, reviewers and readers and welcomes your feedback.
IEEE OJ-SP will debut in 2020 and will be compliant with funder mandates such as Plan S, as all articles will be published under Creative Commons Attribution Licenses (CC-BY). IEEE OJ-SP will soon be accepting submissions and is scheduled to publish its first articles in January 2020. For more information, please visit open.ieee.org and sign up to receive an email alert when the IEEE Open Journal of Signal Processing begins accepting submissions.
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