AI时代：无线网络如何跨越数智化鸿沟，共铸算力飞跃新篇章？

Core Insights - The article emphasizes the transformative impact of technology, predicting that by 2030, up to 75% of enterprises will adopt cloud computing, big data, and AI services, marking the full arrival of the AI era [1] - The communication industry is transitioning towards next-generation technologies, with 5G-A technology maturing rapidly and becoming widely applied, which is crucial for meeting the evolving network demands driven by AI [3][7] Group 1: Industry Trends - The future of the information industry will be propelled by AI applications, technological innovations, and policy guidance, leading to a qualitative leap in communication and computing capabilities [3] - The demand for high-performance connectivity is increasing in both consumer and industrial sectors, necessitating advancements in wireless communication technologies [3][6] Group 2: Challenges and Innovations - The communication industry faces ten major challenges, including theoretical innovations, new materials and devices, low energy consumption, and the integration of heterogeneous resources [4] - Addressing these challenges requires meeting three core demands: enhancing network capacity, overcoming low energy consumption and precise positioning challenges, and optimizing network performance in operations and digital twin technologies [6][7] Group 3: Technological Developments - Key technologies such as Massive Beam and Cell Free are essential for improving communication performance, with the goal of tripling spectrum efficiency and achieving edge experience rates of 300-500 Mbps [6] - The integration of AI and IoT devices presents new connectivity challenges, which can be addressed through technologies like wide-area narrowband positioning and wireless directional power transmission [6][7] Group 4: Future Outlook - 5G-A is positioned as a critical node towards future communication technologies, demonstrating significant value in various sectors, including manufacturing and logistics [7] - The shift from "downlink-dominated" to "uplink-balanced" networks signifies an evolution from "connection services" to "intelligent data services," enhancing the capabilities of AI applications [7]