In the bustling city of Hanoi, Viettel High Technology Industries Corporation (VHT) and deep sig We are setting new standards in the communications industry. On February 25, 2024, these two technology giants announced the world’s first live broadcast. AI/ML based neural receiver works internally 5G Open Virtualized Radio Access Network (vRAN). This innovative implementation not only represents a major leap forward in the application of artificial intelligence and machine learning in wireless communications, but also reinvents the 5G environment by enhancing signal processing and network efficiency without the need for additional hardware. It is also promised to build.
The dawn of a new era of 5G technology
Central to this partnership is the DeepSig integration. OmniPHY-5G Neural Receiver Software This is a move that represents the first instance of AI/ML applied to physical layer signal processing in 5G ORAN equipment.This integration is expected to drive further growth 5G user throughput and resource utilization With open vRAN deployments. The technology leverages advanced AI/ML algorithms for channel estimation and equalization to enhance the signal-to-interference-noise ratio (SINR) of physical shared uplink channels, resulting in significant improvements in 5G RAN capacity and hardware efficiency. It leads to
Impact on mobile network operators and users
For mobile network operators, the introduction of this AI/ML-based neural receiver means they can deliver a higher quality experience to their users without the need for additional expensive hardware upgrades. This technological advancement not only demonstrates the potential of AI and ML to revolutionize the performance and capacity of 5G networks, but also highlights Viettel and DeepSig’s commitment to innovation and excellence in communications. The CEOs of both companies expressed pride in this achievement and highlighted their companies’ ability to set new benchmarks in 5G technology and the application of AI/ML in communication networks.
Challenges and future direction
While the introduction of this neural receiver heralds a promising new chapter in 5G technology, it also presents challenges that must be overcome. The complexity of integrating AI/ML algorithms into existing communications infrastructure requires not only technical expertise but also a willingness to embrace new paradigms for network operations and maintenance. Additionally, as this technology evolves, ensuring the security and privacy of user data processed through AI/ML systems will be of paramount importance. Despite these challenges, the successful deployment in Hanoi serves as a signpost for future advances, as AI/ML technologies continue to mature and proliferate around the world, further improving network efficiency, capacity, and user experience. It promises to be strengthened.
