AI Model Saves UK Telecom Network 76% in Resources, Boosts Sustainability

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AI Model Saves UK Telecom Network 76% in Resources, Boosts Sustainability

A new artificial intelligence (AI) model developed by the University of Surrey has the potential to revolutionize the UK’s telecommunications network. By using AI to allocate computing power more efficiently, the model could save up to 76% in network resources compared to existing systems. Not only would this improve the network’s bandwidth capacity, but it would also make mobile networks more environmentally sustainable by reducing energy consumption.

The model, detailed in a study published in IEEE Transactions on Network Service Management, mathematically analyzes the network to find the optimal way of allocating computing power. This ensures that bandwidth is used more efficiently without the need for significant additional computational costs. The researchers believe that this model can be adapted for other scenarios, such as helping drones conserve their batteries or reducing latency in remote surgery.

The current telecommunications network operates on Open Radio Access Network (O-RAN) systems, which allow computing power to be shifted according to changing demand. However, existing technology struggles to adapt to rapid changes in demand across the network. The Surrey researchers’ AI model addresses this issue by dynamically adapting to demand changes with reduced necessity for network reconfiguration.

The findings from this study have wide-ranging implications for telecom providers. By implementing this AI model, providers can make their networks more efficient, robust, and resilient. Not only would this benefit their systems, but it would also result in significant energy savings.

The proposed scheme will now undergo further testing in the HiperRAN Project, a collaboration between the University of Surrey and industry partners. This project aims to bring the technology closer to being ready for practical use and roll-out in the telecommunications industry.

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Dr. Mohammad Shojafar, a senior lecturer at the University of Surrey and co-author of the study, emphasized the significance of this research. He stated that this solution aims to design intelligent, robust applications for traffic demands on Open RAN, which is a prominent next-generation telecom network. Implementing this research could help shape the next generation of telecommunications networks.

With the potential to revolutionize the telecom industry, the AI model developed by the University of Surrey offers a sustainable and efficient solution for network optimization. By adopting this model, telecom providers can not only save significant resources but also contribute to a greener and more environmentally friendly future.

Frequently Asked Questions (FAQs) Related to the Above News

What is the AI model developed by the University of Surrey?

The AI model developed by the University of Surrey is a system that mathematically analyzes the UK's telecommunications network to find the optimal way of allocating computing power.

How does the AI model save resources in the telecom network?

By using AI to allocate computing power more efficiently, the model can save up to 76% in network resources compared to existing systems, resulting in improved bandwidth capacity and reduced energy consumption.

What are the potential applications of this AI model?

The AI model can be adapted for other scenarios, such as helping drones conserve their batteries or reducing latency in remote surgery.

How does the AI model address the issue of rapid changes in demand across the network?

The AI model dynamically adapts to demand changes with reduced necessity for network reconfiguration, making it more efficient in responding to fluctuations in demand.

What benefits does the AI model offer for telecom providers?

Implementing the AI model can make telecom networks more efficient, robust, and resilient, resulting in significant energy savings and improved performance.

What are the next steps for the AI model's implementation?

The proposed scheme will undergo further testing in the HiperRAN Project, a collaboration between the University of Surrey and industry partners, to bring the technology closer to practical use and roll-out in the telecommunications industry.

How does this research contribute to the development of next-generation telecom networks?

By designing intelligent, robust applications for traffic demands on Open RAN, the AI model developed by the University of Surrey aims to shape the next generation of telecommunications networks.

What are the overall benefits of adopting the AI model for telecom providers?

Adopting the AI model can not only save significant resources but also contribute to a greener and more environmentally friendly future by reducing energy consumption in the telecom industry.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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