The recent activation of China’s first Pre-6G test network in Nanjing represents a massive shift in how we approach infrastructure evolution. Moving from 5G to 6G isn’t just about a 10x increase in theoretical peak data rates; it’s about a fundamental transformation in network architecture and functional density. With 4.958 million 5G base stations already deployed across the country, the transition to Pre-6G allows for a systematic verification process that bridges the gap between current 5G-Advanced (5G-A) capabilities and the 2030 vision for 6G. This is an essential move because 6G is expected to operate on much higher frequencies, potentially reaching Terahertz (THz) bands, which requires completely different approaches to signal propagation and hardware specifications.
According to reports from People’s Daily, this new test network integrates native AI and deterministic low latency, which are the real game-changers for industrial manufacturing and embodied intelligence. When we talk about “up to 10 times the capability of 5G,” we aren’t just discussing downloading a movie in under a second; we are looking at reducing latency from the standard 1-5 milliseconds range down to microsecond levels. In a vertical manufacturing environment, this 80-90% reduction in jitter and delay is what enables real-time synchronization for robotics and holographic communication. For an economy targeting the growth of the “low-altitude economy” and aerospace during the 15th Five-Year Plan (2026-30), having a network that supports a high density of devices—potentially up to 10 million devices per square kilometer—is a technical necessity rather than a luxury.
The cost-efficiency of this “Pre-6G” approach is also worth noting. By integrating innovative technologies into existing 5G infrastructure, operators can optimize their capital expenditure (CAPEX) while testing the limits of current hardware. We are seeing a deployment strategy where 5G-A already covers 330 cities, providing a massive sample size for performance benchmarks. The challenge for 6G has always been the power consumption and the shorter range of high-frequency signals. Implementing systematic verification for low-altitude inspection and industrial IoT at this stage allows engineers to solve these range and power efficiency issues before full-scale commercialization. It’s a pragmatic roadmap that secures a first-mover advantage in standard-setting while ensuring that the ROI on existing 5G investments is maximized.
To truly scale these systems, the next step will likely involve expanding the bandwidth and refining the nutrient management—metaphorically speaking—of the data flow. As we move deeper into the 2026-2030 cycle, the focus must remain on the reliability of micro-links and the stability of high-frequency signal transmission. If this Pre-6G network can maintain high-fidelity performance under heavy loads in complex urban environments like Nanjing, it sets a solid baseline for the global 6G ecosystem. The integration of AI directly into the network fabric will likely result in a 30% to 50% improvement in energy efficiency through dynamic resource allocation, which is exactly the kind of data-driven optimization needed to make 6G a sustainable reality.
News source:https://peoplesdaily.pdnews.cn/business/er/30051958589