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    GSA confirms LTE connects almost 1 in 4 mobile subscribers worldwide: Q4 2016

    GSA, the Global mobile Suppliers Association, confirms that LTE technology continues to dominate mobile growth and now connects almost 1 in 4 mobile subscribers globally. By the end of Q3 2016 the total LTE subscriptions worldwide had reached 1.683 billion, an increase of 230 million over the 2Q figures. GSA analysed mobile subscriptions data provided to GSA by Ovum Ltd for Q3 2016. The Asia region continues to lead LTE adoption with 58% market share, a slight increase in the previous quarter figures. North America now accounts for 16.8% market share, while Europe is steady at 13.9%.…
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    LTE Subscriptions Regional Shares – Q3 2016

    Chart showing the regional shares of LTE subscriptions up to 30 September 2016. Q3 2016 total LTE subscriptions worldwide = 1.683 billion LTE is now connecting almost 1 in every 4 mobile subscribers worldwide Asia continues to lead and slightly increased share with 58% of global LTE subscriptions North America now accounts for 16.8% Europe share is steady at 13.9% Latin America and Caribbean has 5.8% MEA share increased to 5.5% © Copyright 2017 GSA – Global mobile Suppliers Association Data to create this chart was supplied to GSA on December 16, 2016 by Ovum…
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    5G Spectrum in Europe – GSA PPT

    This presentation outlines the agreed views on 5G Spectrum from the GSA Spectrum Group European regional (CEPT/EU) team. GSA is a global supplier association and the Spectrum Group has a global mandate to deliver spectrum messaging on behalf of its members. This presentation is a European position on 5G spectrum and may not represent the position with other regions.   About the GSA Spectrum Group: The Spectrum Group within GSA is the GSA focus group for global policy matters related to the radio frequency spectrum and radio regulatory matters pertaining to the successful evolution of International Mobile Telecommunication (IMT)…
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    Spectrum Workshop at ITU-Telecom World.

    This presentation was given by Ulrich Dropmann, Nokia Executive Member representative at  the GTU Spectrum Workshop in Bangkok in November 2016. © GSA & Nokia Nokia is an Executive Member of GSA  
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    APT700 White Paper: Huawei

    Spectrum is viewed as a key asset for the development of mobile broadband (MBB) and Cellular Internet of Things (C-IoT).…

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    Building 5G: Data Analytics and Artificial Intelligence

    Summary bullets:
    • Where technologies like mobile edge computing (MEC) or network slicing are needed to deliver on 5G promises, data analytics is a space that looks to benefit from 5G’s ability to support data collection and distributed processing.
    • At the same time, as 5G brings new complexity to network rollout and operations, data analytics and automation will be critical for simply getting 5G up and running.
    In taking a look at MEC, NB-IoT and network slicing, our last three posts on 5G ecosystem components focused on network technologies and innovations required to make 5G a reality.  It isn’t the case, however, that supporting 5G network builds and benefitting from 5G are mutually exclusive – consider the role of data analytics and artificial intelligence (AI). To position “big data” as a broad topic is something of an understatement.  Telcos tend to look at it from analytics on user data (improving service offers), network data (improving network operations) and the massive amounts of sensor-based and other IoT data likely to run over their networks.  From a multi-industry perspective, there are myriad data sources to be collected and analyzed in support of myriad benefits. Before starting on the role of analytics in 5G, then, it’s worth framing the conversation with a description of analytics. Getting to the point where we can use these capabilities  will, of course, require no shortage of human intervention in terms of prioritizing investment and innovation. And how does this all link to 5G?
    • Enhanced Mobile Broadband. Rather than just delivering massive bandwidth, Enhanced Mobile Broadband is about delivering enhanced experiences.  Data analytics come into play for identifying the bandwidth required to deliver that experience, based on application or user profiles.
    • Massive IoT. A fundamental difference between IoT and machine-to-machine (M2M) use cases is the role of data; where M2M is about connecting and transactions between things, IoT is about connectivity in the name of control and/or capturing  data in order to analyze things and take action.  Here, 5G’s ability to support massive connectivity across diverse devices – backed by the distributed compute architectures – creates the ability to gain insights from data in real-time.
    • Critical Communications. Critical use cases will generate data.  More importantly, the requirements on when and where that analysis takes place will be constrained by bandwidth, and processing power, not to mention available network resources.  Whether thanks to slicing-based traffic prioritization, MEC-based local analytics or the latency improvements promised by a new 5G air interface, 5G lays a foundation for supporting critical analytics. It makes possible the real-time and automated intelligence that can seamlessly travel from the cloud to a plethora of end points.
    Putting this into context, think back to this year’s Los Angeles Auto Show.  You might not have expected Intel’s CEO to show up, but he did, noting, “if you have rich data, your car will be able to deal with complex route situations. If not, the car will stop.”  Or, more succinctly, “data is the new oil.”  This explains some of Intel’s recent moves (including the Nervana acquisition and platform launch).  The same trend can be seen in a number of industries linked to 5G use cases, from public safety and precision agriculture, to smart cities-based efficiencies and prescriptive healthcare services  tailoring based on user data. In an effort to support these use cases, the role of data analytics is elevated with 5G.  While 4G was often positioned as a “data” network, this was only within the context of circuit switched connectivity giving way to IP connectivity, even for applications like voice.  5G, on the other hand, is positioned as an intelligent network that supports data and analytics use cases, helping it reach out to drive new industries in a way that wasn’t possible previously. Ultimately, however, there is a dual role for data analytics within the context of 5G; along with supporting new business opportunities, analytics will also be key to getting 5G networks rolled out and operational.  Between multiple layers of virtual functions, virtual and physical RAN assets, and distributed computing nodes, 5G networks will be fundamentally complex beasts.  Add in diverse 5G RAN considerations – densification-driven RAN node proliferation, mmWave spectrum usage, unlicensed spectrum usage, shared spectrum usage – and the complexity of 5G networks cannot be overstated.  Network data, then, will be key for managing this complexity in the name of network rollout and operations.  Think where to deploy capacity.  Think how to balance capacity and coverage.  Think how and when and where to scale specific network functions, or application microservices.  Think network utilization information supporting AI-driven proactive care. In a simple network with limited capabilities, data analytics is of marginal importance: the network can only carry so much data and there’s not that much network data to collect or act on.  5G networks look to be anything but limited or simple, making analytics key to delivering on the 5G promise and making the full use of 5G resources. Peter Jarich – VP, Consumer Services and Service Provider Infrastructure This blog post is republished on the GSA web site with the permission of the author and Intel. Intel is an Executive Member of GSA ©2016 Peter Jarich & Intel
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    Delivering Mobile Diversity – Huawei White Paper

    As mobile connections multiply and diversify, telecoms operators are looking to deploy new flexible network architectures. This white paper from Huawei and…

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    LTE Broadcast White Paper

    This paper was prepared by analyst company Innovation Observatory on behalf of the LTE Broadcast Alliance, with assistance from the founding operators of the Alliance: EE, Telstra, KT and Verizon. The LTE Broadcast Alliance was formed in April 2016. Its operator members are CSL Mobile, EE, HKT, Korea Telecom, Reliance Jio, Smartfren, Telstra, TIM, Turkcell and Verizon Wireless, and represent more than 370 million customers. The LTE Broadcast Alliance aims to facilitate the development of the LTE Broadcast ecosystem. This paper explains how LTE Broadcast has developed from a network technology initially intended to support…
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    GSA Small Cells Networks Presentation

    Presentation given by Joe Barrett, President, GSA on 25th November 2016 at Huawei's Global Mobile Broadband Forum, Tokyo, Japan. This presentation supports the GSA Small Cells Networks White Paper produced with input from Huawei and Ericsson. ©2016 GSA  
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    GSA LTE-Advanced Pro (4.5G) Market Progress

    Presentation given by Alan Hadden, VP, GSA on 25th November 2016 at Huawei's Global Mobile Broadband Forum, Tokyo, Japan. 105 operators worldwide are currently investing in LTE-Advanced Pro technologies (FDD, TDD and LPWA solutions), comprising network deployments, trials and studies. 13 of these networks are commercially launched. Each of the operator activities are identified, together with the status of the user terminals and NB-IoT devices ecosystems. ©2016 GSA
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    GSA 5G Executive Report: Connected Cars

    This GSA 5G Executive Report considers the journey to autonomous and connected cars and how mobile technology will be an enabler for this emerging industry. The report includes GSA forecasts for the number of connected cars in market today and by 2025 and the amount of data these vehicles will be generating into the mobile network. Also included is an up to date list of the latest trials from around the world. ©2016 GSA Figures and forecasts may be used with the appropriate GSA citation.
    | GSA Report
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    Small Cell Networks

    Small cells are likely to play an important role in meeting the network demands of the future. The increasing numbers of massive hotspot areas with demanding capacity and connections requirements has seen a rise in popularity of small cell solutions. ©2016 GSA This report benefits greatly from the insights and experiences kindly contributed by the GSA’s members and community, in particular, the Executive Members Ericsson and Huawei.
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    Ericsson Regional Mobility Report: Central & Eastern Europe

    This is one of five Regional report supplements to the main Ericsson Mobility Report published in November 2016. Region: Central & Eastern Europe This report is published on the GSA web site with the permission of the author. ©2016 Ericsson Ericsson is an Executive Member of GSA
    | Member Report
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    Ericsson Regional Mobility Report: Latin America & The Caribbean

    This is one of five Regional report supplements to the main Ericsson Mobility Report published in November 2016. Region: Latin America & The Caribbean This report is published on the GSA web site with the permission of the author. ©2016 Ericsson Ericsson is an Executive Member of GSA
    | Member Report
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