A new artificial intelligence (AI) model developed by the University of Surrey is set to transform the telecommunications industry in the United Kingdom. This innovative technology has the potential to significantly reduce network resources by up to 76% compared to the existing Open Radio Access Network (O-RAN) system. Not only does the AI model offer substantial savings in bandwidth, but it also improves the environmental sustainability of mobile networks by reducing energy consumption.
The University of Surrey’s study, published in the IEEE Transactions on Network Service Management journal, outlines how their AI model can allocate computing power across the network in the most efficient way possible. By mathematically modeling the network and utilizing AI algorithms, the model identifies the optimal method for allocating resources. Lead researcher Esmaeil Amiri explains that this approach allows telecommunications providers to utilize their bandwidth more efficiently with only a minimal increase in computational cost. Furthermore, this model can be adapted for various applications, such as enhancing battery conservation in drones and reducing latency in remote surgery.
The proposed AI-powered model offers several advantages compared to current O-RAN systems. Notably, it can adapt dynamically to changes in demand without requiring extensive reconfiguration of the network. While O-RANs have revolutionized the industry by enabling telecom providers to shift computing power across the network based on demand, they struggle to keep up with rapid fluctuations. The University of Surrey’s model aims to address this limitation and provides a more efficient and robust solution.
The researchers at Surrey believe that telecom providers can leverage their findings to further enhance the efficiency of their networks, resulting in significant energy savings. By adopting the AI model, these providers can not only make their systems more resilient but also reduce overall energy consumption. This development aligns with the growing emphasis on environmental sustainability and demonstrates the potential of AI in driving positive change across industries.
To bring this technological breakthrough closer to real-world application, the proposed scheme will undergo further testing in the HiperRAN Project. The Surrey team, in collaboration with industry partners, aims to refine the technology and make it ready for widespread implementation. Dr. Mohammad Shojafar, co-author of the study, emphasizes that the solution focuses on designing intelligent and robust applications for traffic demands on Open RAN, which is a key aspect of the next-generation telecom network.
The University of Surrey’s AI model represents a significant advancement in the telecommunications sector. By harnessing the power of AI, telecom providers can optimize their bandwidth allocation, leading to substantial resource savings. Moreover, this innovation contributes to the environmental sustainability of mobile networks through reduced energy consumption. The model’s adaptability and potential for broader applications highlight the transformative capacity of AI in shaping the future of telecommunications. With further development and testing, this groundbreaking technology can revolutionize the industry and pave the way for more efficient and resilient networks.
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