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Tenant of smart m anufacturing

Tenant of smart m anufacturing

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Tenant of smart m anufacturing

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  1. Tenant of smart manufacturing

  2. Reliance on network technologies will be extremely high • leveraging cloud / network based resources due to new technology adoption and change in business models • Products / Machine / output as a service scenarios will need constant connectivity • Newer technologies like additive manufacturing will increase demand for low latency high bandwidth needs

  3. Few demanding applications of smart manufacturing 1xMBB (Extreme Mobile Broadband), uMTC (Ultra reliable Machine Type Communication), mMTC (Massive MTC) are the main 5G services [1]. 2The device density should be seen as indicative (and upper-bound), since it might vary enormously from one case to another. The ITU-R IMT-2020 recommendation was used as a reference; see ITU Radiocommunication Sector ITU-R, “Framework and overall objectives of the future development of IMT for 2020 and beyond,” Recommendation ITU-R M.2083, September 2015. Data source credits: Ericsson

  4. Smart manufacturing challenges as we see Horizontal policy issues that affect the Internet of Things Enabling devices and systems to connect with each other on a technical level, typically through reliance on common standards The ability of consumers and businesses to safeguard their own personal or business data in a world of m2m transmissions. Ensuring that devices, networks, and applications are secured from threats by malicious actors Privacy Security Interoperability Where, how, and when the vast amounts of data generated from individual sensors and devices will be stored. Ensuring that sensor-enabled and network-aware devices are able to transmit their data in a manner that uses resources efficiently. Spectrum & Bandwidth Data Storage

  5. Increased network function virtualization will be needed Network Functions Virtualization NFV pertains to the virtualization of specific functions of the network which are currently done in hardware. This virtualization happens by consolidating the functionality of the hardware onto general purpose, high-performance and scalability servers which can be scaled back to more convenient parts of the network, such as the data centre or the network edge. Agility Increased agility in delivering services owing to the flexibility of cloud computing and edge computing. Flexibility Ability to roll out new network services on an ad-hoc, self-service, or even on demand basis Responsiveness Traditional process of rolling out new services by installing on premises is eliminated, reducing the additional configuration time from weeks to days to hours Automation Operators can implement a level of service automation, whereby services are selected and automatically rolled out as and when required

  6. Thank You