5G promises a lot. High bandwidth for some users, ultra-low latency for others and ultra-reliable services for mission critical applications. 5G achieves this network agility using key technologies including network function virtualization (NFV), software defined networking (SDN) and network slicing. NFV segments network resources into modular building blocks by disaggregating software from the underlying hardware, and SDN provides the necessary management and orchestration requirements for infrastructure virtualization. Network slicing tailors virtualized network resources to address specific service demands, such as bandwidth, latency and reliability. This seems analogous to a Lego designer crafting innovative creations with Lego building blocks, but unfortunately it is not quite that simple....
5G is in a massive hype-cycle and public media
is awash with 5G announcements, commentary
and opinion. As technology vendors compete
for the 5G-limelight, their reputations are on
the line and influence operators as they look
for leaders to partner with. Vendor reputations
are impacted by the complex interplay of many
factors, including market endorsements and
success stories, negative publicity and missteps,
outbound marketing initiatives, divestitures,
and even the strategic and security concerns of
Massive MIMO (mMIMO) has captured market attention because of its promised performance gains for 4G and particularly 5G networks with its focus on higher band spectrum. Tolaga Research has used natural language processing (NLP) techniques to determine that the greatest public relevance for mMIMO in 2018 was held by Nokia and Ericsson amongst the Tier 1 vendors and Commscope was amongst the specialist radio vendors. However, these and other vendors must evolve their messaging and positioning as mMIMO matures and becomes relevant to broader market audiences. ...
Manufacturing industries face tremendous disruption with increased market competition and unprecedented end-user demands for personalized and customized products. This has culminated in initiatives like Industry 4.0, which emphasizes operational agility with technologies that bring convergence between cyber and physical systems. Wireless technology is key to most Industry 4.0 initiatives and capital expenditures for wireless industrial communications equipment for manufacturing is forecast to increase from 1.28 to 9.10 billion US dollars, between 2018 and 2025. Wireless technologies used in manufacturing plants today are predominantly unlicensed, and there is growing interest in 4G and 5G licensed spectrum technologies because of their improved reliability, robustness and latency performance...
5G use-cases will be defined by the strategies of their stakeholders. In our report entitled, Meaningful Stakeholder Engagement Is a Bellwether for 5G we show that the public engagement of 5G-stakeholders is increasing. As this occurs, the strategies of 5G-stakeholders will evolve and new 5G-stakeholders will emerge. A clear understanding of the strategic priorities of these stakeholders is crucial in anticipating the drivers and inhibitors for 5G use-case development. These strategic priorities are investigated in this report by analyzing the thought leadership blogs for a basket of 5G-stakeholder companies. Technology companies typically publish several hundred thought leadership blogs annually. The blogs of 12 5G-stakeholder companies were analyzed using natural language processing (NLP) techniques. Keywords and phrases, which are relevant to 5G were identified in the blogs and classified. The stakeholder companies assessed in the study included ABB, Amdocs, Bosch, Cisco, Ericsson, Huawei, IBM, Intel, Juniper, Nokia, Oracle and Qualcomm
As 5G gains market momentum, it has its critics who question the commercial viability of many of the use-cases that are being proposed. Most initial 5G deployments are justified with the enhanced mobile broadband (eMBB) services, and in some cases fixed wireless access (FWA). However, 5G promises much more, with use-cases for advanced consumer services and vertical industry applications. These use-cases are nascent and disruptive, and consequently have elusive business-models that are virtually impossible to predict. Players that focus on strict business-model justification for these disruptive 5G use-cases will likely fall into 'the innovator's dilemma' and be on the wrong side of market disruptions, as was famously described in Clayton Christensen's book with the same title ...
5G hype is thriving, driven by a vision for industry transformation and by nation states who are vying for 5G leadership. Even though the ink has barely dried on initial 5G standards and 4G is still relatively new, many operators across the globe are trialing 5G technology and establishing deployment strategies. 5G will only deliver marginal benefits when operating in 4G spectrum, but in new spectrum bands it enables wide-band radio channel aggregation for high peak data rates. 5G also supports mmWave operations, which rely on advanced radio technologies, such as massive MIMO and beam steering, to enable tremendous peak data rates and spectrum efficiencies ...
The battle-lines are shifting. In the past, the Internet and cloud computing pushed value creation away from telecom networks, and towards end-point devices and cloud data centers. This, to the benefit of web-scale providers and device manufacturers, like Amazon, Apple, Facebook, Google, Huawei and Samsung, largely at the expense of telecom network operators. Cloud service architectures are centralized in massive data centers provided by web-scale providers. While these services will prevail for the foreseeable future, the proliferation of connected devices and digital services is driving the need for edge computing, which operates outside data-center environments with distributed, as opposed to centralized, architectures. In principle, the expansion of edge computing should benefit network operators, whose distributed network real estate is well suited to host edge computing infrastructure. However, the story is not that simple and depends on where high value edge computing functionality is ultimately deployed. Rather than defining a distinct edge, as the name suggests, edge computing can be implemented in many locations between data centers and end-user devices, depending on service demands, the competitive positioning of key stakeholders and the environment in which the service is being implemented. For example, autonomous vehicles and cloud-RAN applications require edge solutions to be sufficiently distributed to address latency demands. This contrasts oil field implementations, where edge compute is commonly campus based, somewhat autonomous and used for delay tolerant networking The edge compute market is still nascent and is supported by numerous initiatives which will ultimately consolidate, and seemingly benevolent partnerships which will change as players jockey for market dominance. The telecom industry is pursuing several edge computing standardization efforts. Notable examples include the Multi-access edge computing (MEC), CUPS (Control and User Plane Separation for EPC), and CORD (Central Office Re-Architected as a Data-Center). Multi-access edge computing (MEC) and CUPS (Control and User Plane Separation for EPC) were spearheaded mobile industry...