AI-5G Introduction part -1
Home LTE NB-IoT 5G(NR-NSA)
--Pinal Dobariya
Symbiotic relationship of AI and 5G:
In this section we will learn
about the Artificial Intelligence (AI) in 5G. we all know that the recent
breakthroughs in AI and computing have encouraged researchers in the field of
wireless communications to study and leverage
AI especially in the 5G context.
As we know 5G provides higher
bandwidth networks promising super fast speed and at the same time it also
provides reliability and responsiveness. On the other hand artificial
intelligence (AI) is technology that can analyze massive amounts of data and
learn from previous actions. So if both AI and 5G network are combined
together, they have the potential to pack a significantly more powerful punch
and work as wonders.
Here when both (5G and AI) are
combined AI can provide its intelligence to decode 5G’s complexity whereas the
5G network will provide a mechanism that can help in transmitting the large
amount of data that AI system will require to process.
We know that 5G networks are
expected to achieve system capacity improvements using an increased spectral
efficiency, higher densification and channel bandwidth.
The greater complexity of 5G
network is one of the reasons for this correlative relationship. Now the
question arises, why are they so complicated? The basic radio technology, which
uses higher frequencies and requires smooth connection mechanisms. In addition
to this the networks requires to adjust resources in real time to adapt to
changing conditions. At the same time there are multiple number of devices from
smart phones to robots to that are need to be connected together. Also many
applications like medical equipments and self driving cars will give rise to large
amount of data and requires enormous analytical capabilities. All this gives
raise to the complicities.
Leveraging ML and AI in 5G
The application of ML and AI in
wireless is still at its early stage and is gradually growing for creating
smarter wireless networks. Machine learning and artificial intelligence will
play a vital role in assisting wireless operators. This will help to operate,
manage and deploy the 5G network with the multiplication of IoT devices. At the
same time design, the network topology and models along with user’s mobility
and usage patterns in 5G will not be easy.
AI and ML will together help in building more intelligence in 5G networks and systems and at the same time will allow a move from managing networks to managing services. This symbiotic relation of AI and ML can be used to in several use cases that will help wireless operators transition from human management model to self driven automatic management transforming the maintenance processes and network operations.
AI and ML will together help in building more intelligence in 5G networks and systems and at the same time will allow a move from managing networks to managing services. This symbiotic relation of AI and ML can be used to in several use cases that will help wireless operators transition from human management model to self driven automatic management transforming the maintenance processes and network operations.
The ITU (International
Telecommunication Union) classifies 5g into following three categories of usage
scenarios to account for more diverse services and resource hungry applications
:
· Enhanced mobile broadband(eMBB) : eMBB is
service category that addresses applications which are bandwidth hungry such as
massive video streaming and virtual or argumented reality (VR/AR)
·
Massive machine type communication(mMTC) : This is a service category that enables
massive sensing, monitoring and metering in support of massive deployments of
the IoT
· Ultra reliable and low latency communication (URLLC)
: This is a service category that supports latency sensitive services including
autonomous driving, tactile internet and drones.
AI algorithms can analyze
multidimensional and cross domain data. This allows for precise 5G network
planning, smart MIMO and dynamic optimization of cloud network resources and
coverage. Moreover AI helps is bringing the order needed by the disorder or
confusion of 5G networks. This helps them to work more efficiently and smoothly.
Stay tune to learn more about AI in 5G………………….
--Pinal Dobariya
Referance:
https://arxiv.org/ftp/arxiv/papers/1811/1811.08792.pdf
https://newsroom.cisco.com/feature-content?type=webcontent&articleId=2012215
http://thenetwork.cisco.com/
Informative
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ReplyDeleteGreat read thaanks
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