About 5g, analyrics, and machine learning

1. A PRESENTATION ON THE TOPIC
INTEGRATION OF 5G WITH AI AND
ANALYTICS
BY
EZEBUESOR DANYSON AKUJURU
FROM THE DEPARTMENT OF
ELECTRICAL ELECTRONICS ENGINEERING
FOR THE PARTIAL FULFILMENT OF THE COURSE
COMPUTER AND SOCIETY 2

2. WHAT IS 5G
What is 5G? 5G simply stands for fifth-generation cellular wireless network. Its
standards were first set in late 2017. There are three basic types of 5G service:
low-band, mid-band, and high-band. They’re all incompatible right now, and
they all perform differently. Even though all the US carriers “have” 5G right now,
it will be another couple of years before we see significant changes from it. By
comparison, 4G first rolled out in 2010, and it was 2012/2013 before major apps
that required 4G to work became popular. However, Ericsson, a leading provider
of Information and Communication Technology (ICT) for service providers,
estimates that by 2024, 40% of the world will be connected by 5G.
The “G” in 5G simply stands for “generation.” 1G was analog cellular service. 2G
technologies were the first generation of digital cellular technologies. 3G
technologies improved speeds from 200kbps to several megabits per second. 4G
technologies are currently offering hundreds of Mbps and even up to gigabit-
level speeds. 5G offers several new aspects: bigger channels to offer faster
speeds, lower latency for higher responsiveness, and the ability to connect more
devices at once.

3. WHAT IS ARTIFICIAL INTELLIGENCE
(AI)
Artificial intelligence (AI) is the simulation of human
intelligence processes by machines, usually computer
systems. AI programs focus on three main cognitive skills:
learning (acquiring data and creating rules for sorting that
data), reasoning (choosing the right data to achieve the
desired outcome), and self-correction (fine-tuning the data
sorting for the most accurate results). The data sorting rules
are known as algorithms, which offer step-by-step
instructions for how to achieve an outcome.

4. Confluence of 5G, AI and Analytics
The integration of 5G, Artificial intelligence (AI), and Analytics
poised to revolutionize the way we live and work. AI represents a
model of human intelligence which focus on cognitive skills such
as learning, reasoning, and auto-correction techniques. The
telecom industry is on the brink of technology revolution leading
to next-generation technologies like 5G and beyond. With 5G
providing high-speed and low-latency connectivity, and AI and
Analytics offering powerful data processing and analysis
capabilities, the combination of these technologies has the
potential to drive innovation and transform various industries.
This enables innovative and futuristic services such as Industrial
Internet of Things (IIoT), smart cities, driverless cars, and more
which demands reliable and low-latency communication. These
emerging technologies are intrinsically interactive and helps each
other to drive potential innovations.

6. AI is being incorporated into cellular networks by
Communication Service Providers (CSPs) now!As per
Ericsson survey, decision-makers from around 132
global telecom companies, more than
half of telecom Service Providers (SPs) (53%)
supposed to have fully incorporated some facet of AI
into their networks by the end of 2020. 55% of
decision-makers confirmed that AI is already being
used to enhance network quality and end user
experience. 70% think that using AI in network
planning is the finest technique for recapturing the
funds made on shifting networks to 5G. The relevance
of AWS services 5G integrated with AI and analytics
have become transformative technology which can
lead investment opportunities in emerging markets
such as digital healthcare,
precision agriculture,smart cities, and more.

7. COLLECTIVE ROLE OF
AI,ANALYTICS AND 5G
TECHNOLOGY
As mobile operators worldwide set to roll out 5G, a
greater number of ‘things’ and ‘devices’ get
connected to the network. This increases huge
amount of data exchange in the network, which
necessitates valuable data insights to provide good
Quality of Service (QoS).
The capability of AI and data analytics to analyze
massive amounts of data and make decisions in
real-time is extremely a valuable characteristic that
transform 5G remarkably!
Let us explore where all we can place AI and

8. NETWORK OPTIMIZATION
Network optimization is critical to ensure
that 5G networks can manage the high data
rates, low latency, and massive device
connectivity that are characteristic of this
technology. AI and analytics can optimize
the 5G network performance through
efficient resource management and user
behavioral analytics to detect any anomalies
or network degradation. AI analytics can
dynamically and efficiently allocate network
resources such as bandwidth, spectrum,
and power to ensure seamless coverage and
capacity as per the user demands

9. AI-powered security systems can monitor network traffic
patterns and identify anomalies that may indicate a security
threat. Machine Learning (ML) algorithms can analyze
enormous amounts of data to detect suspicious activity and
help prevent attacks before they happen. AI creates network
segments that separate critical infrastructure and sensitive
data from other parts of the network, preventing the spread
of malicious activities. This can help prevent unauthorized
access to sensitive data and resources. For example, AI can
automatically quarantine infected devices or shut down
compromised systems to prevent further damage.
NETWORK SECURITY

10. NETWORK INTEROPERABILITY
AI can be used to automate
interoperability testing between
different 5G network
components. This can help to
identify any issues with
interoperability and ensure that
all components are able to work
together seamlessly.

11. PREDICTIVE ANALYTICS
AND MAINTAINANCE