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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As a reminder for continuing chapter chairs and for incoming chapter chairs for 2019, we would like to highlight a valuable resource available to you. Launched last year was IEEE OU Analytics, a web-based business intelligence tool to deliver essential metrics on memberships or subscriptions to OUs, including Societies, Councils, Technical Communities, etc. Using Tableau platform, it provides an intuitive interface and leverages visualization technology to present data in multidimensional tables and charts. The landing page provides easy access to various dashboards with many filtering options to refine by OU, Region, Section, Grade, and Gender. Counts provided on the dashboards can link directly to respective member contact details. The ability to search for one particular member by last name, first name or member number from the membership list is also available and is a convenient feature. Selected volunteer positions in respective OUs have automatic access to their OU's data.
Based upon members' renewal status, OU Analytics delivers key statistics for active, new, renewing or arrears members that can be sorted or refined using various filters. It eliminates the need for volunteers to create/run queries from a data set (previously through SAMIEEE) which can sometimes lead to incorrect results. Doublet (overlapping) society membership data is also available. A new and exciting feature of OU Analytics is an interactive global map comprised of all ten IEEE Regions with key statistical facts on the geographic concentration of IEEE and Society members and chapters globally for IEEE Organizational Units, including the ability to identify membership density for potential chapter opportunities globally. The data is updated daily and is pulled directly from IEEE's membership database, reflecting the most current information made available by members. Data and images can be downloaded using various formats. You will need your IEEE Account information to access. Please review the site for more information or feel free to contact us. There are recorded training webinars, presentations, FAQs, and Users Groups readily available to you as a resource, and one-on-one sessions can be scheduled, upon request.
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