Taiwan Turns 6G Planning Into A Spectrum And Standards Test
Taiwan is pairing 6G spectrum-roadmap work with ITRI agreements in Europe, while Dell’Oro’s projections frame the next network cycle as evolutionary and dependent on AI-driven traffic demand.

Taiwan Links 6G Policy To European Validation Work
Taiwan is moving its 6G preparation from general ambition into a more testable program built around spectrum planning, standards cooperation and technical validation.
The Ministry of Digital Affairs has started work on the national 6G spectrum roadmap, and the first strategy document is expected by the end of the year.
The international track is already active.
At the 2026 EuCNC & 6G Summit, the Industrial Technology Research Institute led a Taiwanese delegation and signed cooperation arrangements with European partners.
One agreement connects the European 6G Smart Networks and Services Industry Association, known as 6G-IA, with the Taiwan 6G Industry Forum, or 6GIF, for joint work on research programs, validation activity and standards development.
ITRI also signed with the Dutch Organisation for Applied Scientific Research under the Future Network Services program.
That agreement centers on integrated sensing and communications research plus technical validation.
The focus is practical because Taiwan’s 6G plan is not only about faster radio access; it is also about how connectivity, sensing, satellite links and AI-managed network functions are tested before operators face commercial decisions.
Spectrum Choices Are The Near-Term Checkpoint
The domestic policy question is spectrum.
Taiwan is assessing several candidate ranges: the lower 600 MHz range, the upper 6 GHz band, and selected portions between 4.7 GHz and 5 GHz.
Officials are trying to keep those choices aligned with global standards before anticipated commercial deployments around 2030.
That schedule gives Taiwan a narrow planning window.
Spectrum selected too early can miss international device and equipment ecosystems; a decision made too late can leave operators and vendors without a clear testing path.
The roadmap expected by the end of the year is therefore the first concrete checkpoint for Taiwan’s 6G industrial strategy.
ITRI’s demonstrations show why the spectrum decision matters.
The institute presented non-terrestrial networks, AI-enabled network management, integrated sensing and communications, satellite communications, and a self-developed 6G base station chipset.
The chipset uses an FR3 radio-frequency front end alongside a high-density antenna design, and ITRI describes its transmission capacity as nearly five times that of current 5G base stations.
The institute also presented an ISAC platform developed with European partners for drone detection, low-altitude airspace monitoring and indoor positioning.
Those use cases indicate how Taiwan is trying to connect 6G research to applications beyond ordinary mobile broadband.
AI Traffic Will Decide The Investment Curve
The investment case is not simply that every mobile generation creates a larger market.
Dell’Oro expects 6G to build on Massive MIMO, existing macro site grids and wider channel bandwidths, making the next cycle more evolutionary than disruptive for radio access networks.
The numbers are still large.
Dell’Oro’s projection puts cumulative 6G wireless capital expenditure above $500 billion during the first six years of the technology cycle.
It also expects cumulative 6G RAN revenue to surpass $100 billion.
The same outlook does not treat 6G as a guaranteed expansion of the overall RAN market, because operator revenue growth remains constrained.
AI-driven traffic is the variable to watch.
If AI applications materially accelerate mobile data demand, operators could face capacity constraints within the next several years and move earlier into a stronger investment cycle.
If traffic growth slows, the urgency for incremental 5G/6G capacity weakens.
Taiwan’s 6G roadmap will be judged against that uncertainty.
It must give vendors and operators enough direction to test spectrum, ISAC, NTN and AI-managed networks before the commercial window around 2030, while leaving room for demand to be either pulled forward by AI workloads or delayed by weaker mobile traffic growth.
















