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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I would like to introduce the new IEEE Transactions on Molecular, Biological and Multiscale Communications (TMBMC) to the Signal Processing Society community. As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary signaling techniques using chemistry, biology, novel electron transfer, and other principles not previously examined. This journal is devoted to the principles, design, and analysis of signaling and information systems for these novel applications. Thus molecular communication as well as chemical and biological (and biologically-inspired) techniques; and new signaling methods at different scales are of interest.
As the boundaries between communication, sensing and control are blurred in these novel signaling systems, research contributions in a variety of areas are invited. In particular, theoretical results grounded in sensing, signal processing and large scale data analysis are of high interest. Data-starved or data-rich statistical analyses of biological systems are relevant. Experimental results on information processes, signaling mechanisms, or networks in biology are also within our scope.
The new journal was seeded by special issues within the IEEE Journal on Selected Areas of Communications. The second special issue will serve as the inaugural issue of the journal with publication Fall 2015. In particular, I highlight two papers from the first special issue (December 2014) and forthcoming papers that suggest models and investigate parameter estimation and sensing for biological systems:, ``Channel and Noise Models for Nonlinear Molecular Communication Systems,’’ by Nariman Farsad, Na-Rae Kim, Andrew Eckford and Chan-Byoung Chae, and "A Stochastic Model for Electron Transfer in Bacterial Cables" by Nicolo Michelusi, Sahand Pirbadian, Urbashi Mitra and Mohamed El-Naggar; and future papers, Joint Channel Parameter Estimation via Diffusive Molecular Communication,” by Adam Noel, Karen C Cheung abd Robert Schober and "Asynchronous Threshold-based Detection for Quantity-Type-Modulated Molecular Communication Systems” by Yang-Kai Lin, Wei-An Lin, Chia-Han Lee, and Ping-Cheng Yeh.
I believe that statistical signal processing, modeling, theory and methods have much to offer in terms of fundamental analysis of biological and molecular communication systems. I invite, and look forward to, the contributions from signal processing colleagues to this new journal technically co-sponsored by the IEEE Signal Processing Society. Please submit your original work to TMBMC at:
More information about the journal can be found at: http://www.comsoc.org/tmbmc
IEEE Transactions on Molecular, Biological and Multi-scale Communications
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