- InterDigital will head a consortium including DeepSig and Skylark Wireless to demonstrate dynamic spectrum sharing using AI, sensing, and 5G systems.
- The aim is to preserve reliable military radar operations while unlocking under-utilised mid-band frequencies for commercial use — though costs, timelines and success are uncertain.
What happened: DoW appoints InterDigital to spearhead AI-driven spectrum-sharing research
On 9 October 2025, InterDigital announced it had been granted a contract by the U.S. Department of War (DoW) to lead research and field demonstrations of advanced spectrum coexistence techniques. The project convenes a coalition that includes DeepSig, Skylark Wireless, along with other collaborators such as Virginia Tech and Radisys.
The focus is on mid-band frequencies, which are prized for their balance of coverage and capacity, and are heavily contested by both defence radar systems and commercial wireless networks. The team intends to build on prior dynamic spectrum sharing work, incorporating new innovations such as low-latency AI-based distributed spectrum sensing and local interference mitigation at base stations and user equipment.
Details such as the contract’s financial value, duration, or performance milestones were not publicly disclosed.
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Why it’s important
The initiative is significant for several reasons:
- Spectrum scarcity and pressure
As demand for wireless capacity increases, mid-band spectrum is in high demand. Defence, public safety and commercial operators often clash over these bands. If coexistence can be reliably demonstrated, it could unlock more efficient usage of under-utilised frequencies. - Bridging civilian and military agendas
The project is emblematic of dual-use research: enabling commercial benefits while preserving defence capabilities. However, whether commercial operators will shoulder costs, or whether the defence sector will accept performance risks, remains to be seen. - Technical and deployment challenges
Achieving seamless coexistence in the real world is notoriously difficult — radar systems have low tolerance for interference, and the commercial side must maintain high throughput and reliability. The success of AI-based sensing and mitigation is unproven in large-scale operational settings. - Governance, oversight and security
Given the strategic implications, questions arise about transparency, auditability and potential biases in algorithmic sensing decisions. There is also risk around vendor lock-in, intellectual property control, and who ultimately benefits from shared spectrum.
In short, InterDigital’s appointment to lead this project is a high-visibility gamble. If it succeeds, it might reshape how spectrum is allocated and used. If it fails or underdelivers, critics may question the wisdom of privatized trials in spectrum governance.
