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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6.341x: Discrete-Time Signal Processing is a free open access self-paced graduate level MOOC (massive open online course). This free online self-paced course is based on the residential MIT introductory graduate-level signal processing course that has been taught and continually updated at MIT for over four decades. 6.341x includes recorded live lectures and all of the exercises, problem sets and exams from the live residential MIT course 6.341.
6.341x was previously offered in 2014 and 2015 online through edX as a regular (i.e. not self-paced) MOOC. We are delighted to announce that edX is now offering 6.341x online and for free in this interactive, self-paced format. This format contains all of the original MOOC content with the exception of a discussion forum or course certification. All of the online content can now be accessed in whatever order, style, and time frame matches your individual interests, learning style, and needs.
We invite you to explore the site and the course, which can be accessed at:
To learn more about the MOOC practices and lessons learnt, read the authors' recent article in the IEEE Signal Processing Magazine: T. A. Baran, R. G. Baraniuk, A. V. Oppenheim, P. Prandoni and M. Vetterli, "MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses," in IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 62-83, July 2016. <http://ieeexplore.ieee.org/document/7503171/?arnumber=7503171>
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