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.
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.