Introduction
Life in the 21st century is strongly shaped by the need for speed.
While 5G wireless has barely taken off, wireless companies have already started talking about the next network.
The complexity of these technologies requires a level of certainty that humans alone cannot provide.
That's why artificial intelligence will power the fifth and sixth generations of mobile networks, from network diagnostics to cybersecurity to personalized applications for profitable industries.
Integrating AI into these networks is an area of incredible interest that many experts have already begun to explore.
Before we dive deeper into the topic, let's first discuss what 5G is.
What is 5G
The fifth generation of mobile networks, or 5G. It is a brand-new wireless industry standard that applies to 1G, 2G, 3G, and 4G networks. Virtually everyone and everything, including machines, objects, and gadgets, can be connected thanks to a new sort of network made possible by 5G.
Higher peak data rates of many Gbps, extremely low latency, improved stability, enormous network capacity, better availability, and a more unified user experience for many users are all anticipated benefits of 5G wireless technology. New user experiences and industry connections are made possible by increased performance and enhanced efficiency.
Why 5G Needs Artificial Intelligence
The idea behind edge computing is to process and analyse data on servers that are closer to the applications they support. Many have stated that the introduction of "connected" devices like coffee cups and pill dispensers has not resulted in the market developing as projected, despite the fact that it is gaining popularity and opens up new opportunities for telecoms service providers among other businesses. However, recent technological advances in artificial intelligence have begun to revolutionize industries and the amount of value this connectivity can provide consumers through the combination of big data, IoT, and artificial intelligence.
This transformation is accelerated by 5G since AI processing is easily supported by the 5G network design. The future of Artificial Intelligence will shift as a result of 5G network architecture. 5G will increase the speed and integration of other technologies, while AI will enable machines and systems to operate with human-like levels of intelligence. In short, 5G accelerates cloud services while AI analyzes and learns from the same data faster.
Advantages and Disadvantages of 5G Technology
Advantages of 5G Technology
There are several benefits to 5G technology, some benefits are shown in the Ericsson image above, and many others are described below −
• High resolution and high bandwidth bidirectional shaping.
• Technology to gather all networks on one platform.
• More effective and efficient.
• Technology facilitates subscriber surveillance tools for quick action.
• It will most likely provide important broadcast data (in gigabits) that will support more than 60,000 connections.
• Easy to control with previous generations.
• Technological sound to help heterogeneous services (including private networks).
• It is possible to ensure a single, uninterrupted and consistent connection worldwide.
Disadvantages of 5G Technology
Although 5G technology is researched and designed to solve all the radio signal problems and hardships of the mobile world, due to security and lack of technological advancement in most geographical regions, it has the following shortcomings:
• The technology is still in process, and research into its viability is ongoing.
• The speed this technology claims seems difficult to achieve (could be in the future) due to incompetent tech support in most parts of the world.
• Many old devices would not be competent for 5G, and therefore all need to be replaced with new – expensive solutions.
• Infrastructure development requires high costs.
• The security and privacy issue is not yet resolved.
It's anticipated that 5G would produce significantly more data. According to research, there will be a quarter of a million fewer data scientists in the US alone by 2030. Simply said, 5G downloads data at a rate that is unsustainable for humans. Artificial intelligence is one means of bridging this gap (AI).
Artificial intelligence will help businesses with 5G networks automate mundane, time-consuming, and tedious tasks and enable the detection of network events that humans cannot determine. AI is a big part of 5G.
Here are 7 Reasons Why 5G Needs AI to Succeed:
1. Optimal customer experience: To ensure a consistent customer experience, AI can be applied to massive amounts of data to evaluate, reason, adapt, group, and optimize findings reliably and efficiently.
2. Exponential data growth: The Internet of Things (IoT) will drive the exponential growth of 5G data from the factory to autonomous vehicles, and every sensor of an IoT device will lead to more data. AI modules can optimize this vast amount of data to achieve intelligence for business benefits.
3. Diagnostic checklists: The complex infrastructure of 5G could cause many problems. Diagnostic lists can be automated using artificial intelligence to facilitate rapid resolution of issues such as video quality, latency issues, and audio dropouts, freeing employees to focus on higher-value activities for which they are more qualified.
4. Always on the remote control: Due to the dramatic changes in network service requirements and operational processes resulting from the global COVID-19 epidemic, remote operations are critical (e.g., the need for social distancing). Artificial intelligence can automate tedious tasks and improve coordination in person or over the Internet, making 5G networks scalable for future workplaces.
5. Predictive and proactive networks: The 5G ecosystem is significantly more complex than previous technology iterations. Unlike a diverse group of players—service providers, core and edge cloud providers, and enterprises—5G requires various and multidimensional elements of a session, from location to software version, device type, etc. AI routines can quickly navigate the complexities of 5G networks. – more accurately than human recognition can – provides more predictable and proactive networks and leads to viable universal enterprise-grade mobile networks.
6. Cyber Security and Automatic Detection: Attack vectors have the potential to increase significantly in a decentralized 5G network due to the large attack surface and applications hosted at the "edges". Applications near the edge are more challenging to secure. To support the automatic identification of potential tampering in 5G-sensitive applications, AI modules must be implemented.
7. Visibility and organizational culture: From different cloud categories (public, edge, etc.) to service types, the broad 5G universe must incorporate a visibility strategy with end-to-end capabilities across all AI modules for 5G network components (e.g., video and IoT). The transition of people and processes from manual to more automated approaches will likely present cultural issues. End-to-end visibility can help with a seamless and progressive transition from 4G to 5G by providing actionable insights. Businesses should seek out vendors with extensive knowledge across a range of industries that can assist them in integrating AI into their networks if they want to make the most of 5G.
AI Applications in 5G
Intelligent automation
Automation is about reducing human error and improving network performance and uptime through low-to-no-touch device configuration, provisioning, orchestration, monitoring, provisioning, and reactive troubleshooting. Artificial intelligence promises to provide “smartness” in analyzing the above tasks and move networking towards a more closed-loop process. When all of this is combined with 5G, mobile service providers should be able to offer easier activations, improved performance, and quick deployment of new services. Operators should see greater average revenue per subscriber (ARPU), more dependable connections, and improved user experience as a result.
Predictive remediation
AI develops, network operators will be able to switch from reactive to proactive problem-solving. They will be able to search through massive amounts of data for anomalies and correct their route before issues develop. 5G should enable networks to better handle the complexity of these predictive functions and support significantly more connected devices. AI-based predictive remediation is applied to the enterprise networking sector with positive results through some tier 1 operators and 5G infrastructure providers such as Ericsson.
Improved user experience
Transformative user experiences across consumer and commercial market segments will be made possible by AI and 5G. At a high level, AI has the potential to reduce the number of subscription service options and present the most relevant ones based on past behavior.
Conclusion
To take full advantage of 5G, enterprises must consider vendors with deep expertise in various fields that can help integrate artificial intelligence into their 5G networks.
