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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Transactions on Signal and Information Processing over Networks (T-SIPN)
There has been an explosion of research in network systems of various types, including physical, engineered, biological and social systems. Its aim is to find answers to fundamental questions about the systems and with them be able to understand, predict, and control them better. To that end, a core area of work is signal and information processing over networks.
Network systems represent a growing research field encompassing numerous disciplines in science and engineering. Their complexity is reflected in the diversity and the interconnectivity of their elements, which have the capacity to adapt and learn from experience. Applications of network systems are wide and include communications (wireless sensor networks, peer-to-peer networks, pervasive mobile networks, the Internet of Things), the electric power grid, biology, the Internet, the stock market, ecology, and in animal and human societies.
The Transactions on Signal and Information Processing over Networks (T-SIPN) publishes timely peer-reviewed technical articles on advances in the theory, methods, and algorithms for signal and information processing, inference, and learning in network systems. The following core topics define the scope of the Transaction:
Adaptation, Detection, Estimation, and Learning (ADEL)
Communications, Networking, and Sensing (CNS)
Modeling and Analysis (MA)
Imaging and Media Applications (IMA)
Data Analysis (DA)
Emerging topics and applications (ETA)
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