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Wireless 5G, AI, and IoT

Bern_Switzerland_DSC_0779
(Bern, Switzerland - Alvin Wei-Cheng Wong)
 

- Overview 

The world of artificial intelligence (AI), fifth-generation data networks (5G) and the rapidly growing Internet of Things (IoT) devices can bring us benefits, but also has many drawbacks, because they are all rapidly developing new technologies. 

AI technologies are evolving from simple tools for ordinary scientists to more intelligent uses within the professional development community. 5G and the Industrial IoT are the convergence of the internet, smart and electronic devices, all of which will be routed through the developing 5G network. 

 

- 5G, IoT, and Modern Vehicle Technology

Today's technological advancements, coupled with the development of IoT technologies, have put the automotive industry under intense pressure to rapidly transition to modern vehicle technology. 

 

- 5G and Edge Computing

The combination of mobile 5G and edge computing promises to fast-track the use of AI in the IoT. With 10 to 20 times faster speeds and dramatically lower latency, 5G makes it much more feasible to process AI workloads locally at the edge, where data is gathered, rather than the slower and more expensive method of sending it to the cloud or a data center.
 
 

- Satellite-Adapted 5G IoT

The advent of wireless 5G represents a potentially disruptive element to enable the vision of a truly global IoT. One of the key features of 5G is the focus on the integration of heterogeneous access technologies, including satellite communication systems. The decrease in their price, their wide coverage, and their native broadcast and multicast capabilities ensure satellite communications are well positioned to complement terrestrial networks where they are not available, or when not operational any more. Hence, satellites play a key role in providing ubiquitous coverage and reliability in remote areas and enabling new IoT/M2M services. 

However, IoT devices are not equipped with satellite connectivity, and IoT protocols were not designed with satellite requirements in mind (long delays, link disruptions, and high PER, etc.). A lot of tweaking and cross-layer optimization is still required to allow the collection of IoT data from (constellations of) satellites, load balance, and offload of terrestrial network to enable smooth integration of IoT and satellite networks.

 

 

[More to come ...]



 

 

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