Page 10 - SAMENA ELITE - June-September 2025

ARTICLE
10 JUN-SEP 2025

• Network Optimization with AI data. and real-time ticket resolution.
- AI helps with intelligent traffic • Customer Service Enhancement • Customer Experience Enhancement
management, dynamic spectrum with AI with AI
allocation, energy optimization, - Natural language processing - Development new services or
and predictive maintenance in (NLP) powers AI-driven chatbots business models (such as New
radio access and transport layers. and virtual assistants. Calling, Real Time Translation,
- Reinforcement learning is - Generative AI (GenAI) is now SLA-based services at the app
used to self-optimize network enabling intent prediction, level etc.)
performance based on real-time personalized service suggestions,

Top 3 AI Applications in Telcos

Source: Futurism Technologies

The Relationship Between 5G-A and How AI Boost 5G-A 7 industrial settings.
AI • RAN Optimization: AI models 5G-A Enables Real Time AI
The relationship between 5G-A and improve beamforming, scheduling, While AI empowers the network, 5G-A
AI is not simply complementary – and interference management also empowers AI-based services
it’s deeply interdependent . These in massive MIMO networks, and applications. Its high throughput,
technologies reinforce each other’s dynamically adapting to traffic low latency, and edge computing
value, forming a feedback loop where loads and user mobility patterns. capabilities allow real-time
intelligent infrastructure enables • Self-Healing Networks: Predictive interaction and decision making .
advanced services, and AI empowers maintenance tools use AI to detect How 5G-A Supports AI
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the network to evolve in real-time. anomalies before outages occur, • Edge AI Inference: 5G-A’s
Together, they form the intelligent reducing downtime and improving distributed architecture allows
engine of future telecom innovation. service quality. AI models to be deployed at the
• Energy Efficiency: AI enables base network edge – closer to the user
AI Makes the 5G-A Networks More stations to enter low-power modes or device – reducing latency for
Potent during low usage periods or reroute applications like video analytics,
Unlike previous network generations, traffic to optimize energy use – industrial robotics, or autonomous
5G-A is designed with AI built into its critical for sustainability and cost vehicles .
core. AI algorithms are increasingly control in dense 5G-A deployments. • Support for Massive AI Workloads:
responsible for managing the • Network Slicing Automation: AI AI-driven applications, such as
complexity of modern networks, determines when and how to computer vision in smart cities or
where thousands of parameters create, scale, or remove network voice synthesis in virtual assistants,
(user behavior, location, service type, slices based on real-time demand, rely on high uplink speeds and
service experiences etc.) change in QoS needs, and user profiles stable latency, both of which are
milliseconds . – especially in enterprise and enhanced in 5G-A.

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