6G Spectrum Policy: WRC-23 Shapes 2026 Future

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Key Takeaways

  • The World Radiocommunication Conference (WRC-23) identified several frequency bands for future 6G research and development, including portions of the 7-24 GHz range and sub-THz bands.
  • Global harmonization of 6G spectrum policy is a significant challenge, requiring intricate negotiations among nations to ensure smooth international roaming and equipment interoperability.
  • Dynamic spectrum sharing mechanisms, alongside traditional licensed approaches, are critical for maximizing spectrum efficiency and accommodating the diverse demands of 6G applications.
  • Regulatory bodies like the FCC and Ofcom are actively exploring new licensing models and technical standards to facilitate the deployment of 6G infrastructure.
  • The sub-THz and THz bands (above 100 GHz) hold immense promise for ultra-high-speed 6G, but present substantial engineering hurdles related to signal propagation and component design.

The allocation of 6G spectrum is a key factor determining the capabilities and widespread adoption of next-generation wireless communication. As we move into 2026, the foundational decisions being made now will shape the technological field for decades to come, impacting everything from immersive holographic communications to advanced industrial automation. How will international bodies and national regulators navigate the complex demands of unprecedented data rates and ubiquitous connectivity?

The Quest for Unallocated Airwaves: Initial Allocations and Research Bands

The journey towards 6G is fundamentally a search for more bandwidth, pushing into higher and higher frequency ranges. Initial discussions and research have largely coalesced around two primary areas: expanded use of mid-band frequencies and the exploration of sub-terahertz (sub-THz) and terahertz (THz) bands. The World Radiocommunication Conference 2023 (WRC-23), a critical meeting organized by the International Telecommunication Union (ITU), made significant strides in identifying potential frequency ranges for future mobile broadband. According to the ITU’s official WRC-23 outcome report, several bands were earmarked for study, notably portions of the 7-24 GHz range, which offer a balance between propagation characteristics and available bandwidth, and the higher sub-THz bands, particularly from 90 GHz upwards. These allocations are not final commercial assignments but rather launch pads for further technical investigation and regulatory planning.

The mid-band frequencies, specifically those between 7 GHz and 24 GHz, offer a compelling compromise. They provide larger contiguous blocks of spectrum compared to current 5G deployments, allowing for higher data throughput, while still exhibiting reasonable propagation characteristics that can penetrate some obstacles and cover wider areas than millimeter-wave (mmWave) frequencies. For instance, the 10-15 GHz range is being actively studied for its potential to support high-capacity urban deployments without requiring an excessive density of base stations. Regulators, including the Federal Communications Commission (FCC) in the United States, are already conducting inquiries into these bands to assess their suitability and identify potential incumbents that would need to be relocated or protected. This process involves intricate technical analyses, public comment periods, and often, lengthy negotiations with existing spectrum users, such as satellite operators or government agencies. We’re not just looking for empty space. We’re often looking for ways to share or repurpose existing allocations.

Beyond these, the real frontier for 6G lies in the sub-THz and THz bands, generally considered to be above 100 GHz. These frequencies, extending into hundreds of GHz, promise truly unprecedented bandwidth, capable of supporting data rates in the terabits per second range. Imagine downloading an entire movie in milliseconds. This is where applications like holographic telepresence and hyper-fast data transfers for industrial robotics will become feasible. However, the engineering challenges are immense. Signals at these frequencies suffer from severe atmospheric attenuation and are highly susceptible to blockage by even minor obstacles like foliage or heavy rain. Developing compact, energy-efficient transceivers and antennas that can effectively operate in these bands is a significant research focus for academic institutions and industry consortia worldwide. The IEEE, through its various working groups, publishes extensive research on these topics, detailing advancements in component design and propagation modeling.

Global Harmonization: A Regulatory Balancing Act

Achieving global harmonization of 6G spectrum management is a monumental task, requiring a delicate balancing act between national interests and the undeniable benefits of international interoperability. Without harmonized spectrum, devices bought in one region might not work in another, driving up costs for manufacturers and fragmenting the market for consumers. The ITU, as the United Nations specialized agency for information and communication technologies, plays a central role in coordinating these efforts. Its World Radiocommunication Conferences, held every three to four years, are the primary forum where member states negotiate and agree upon the global allocation of radio-frequency spectrum. The outcomes of WRC-23, for example, set the agenda for national regulatory bodies over the next several years, guiding their domestic allocation decisions.

The challenge stems from the fact that spectrum is a finite resource, and its usage varies significantly across countries. Military applications, satellite communications, scientific research, and existing terrestrial services all lay claim to different parts of the radio spectrum. Convincing diverse nations to reallocate or share their existing spectrum holdings for a new global standard requires extensive diplomatic efforts and technical compromises. Consider the historical context: 2G, 3G, 4G, and 5G all faced similar hurdles, with some bands achieving greater global harmonization than others. For 6G, the ambition is even greater, given the vast swaths of new spectrum under consideration. Countries will need to weigh the economic benefits of a globally harmonized ecosystem against the potential costs of re-farming existing spectrum or relocating incumbent users. It’s a complex puzzle where every piece affects many others, and no single nation can unilaterally dictate the rules.

Different regions are approaching this with varying degrees of urgency and focus. The European Conference of Postal and Telecommunications Administrations (CEPT), representing 48 European countries, actively coordinates spectrum policy within Europe, often aligning its positions ahead of ITU conferences. In Asia, organizations like the Asia-Pacific Telecommunity (APT) perform a similar function. These regional bodies play an important role in developing common positions and proposals that are then presented at the global ITU level. The goal is not just to identify suitable bands but to ensure that these bands are available globally, or at least across major economic blocs, with minimal interference issues. This level of international cooperation is not always straightforward, but it’s essential for a truly global 6G ecosystem. We’ve seen with 5G how fragmented spectrum can lead to slower rollout and higher costs in some markets.

Dynamic Spectrum Sharing and Advanced Licensing Models

Traditional spectrum licensing, where specific frequency blocks are exclusively assigned to a single operator for a fixed period, may not be sufficient to meet the demands of 6G. The sheer volume of data and the diverse range of applications expected from 6G necessitate more flexible and efficient spectrum utilization. This is where dynamic spectrum sharing (DSS) and advanced licensing models come into play. DSS allows multiple users or operators to share the same spectrum band, either simultaneously or on a time-sliced basis, optimizing its use based on real-time demand and availability. Technologies like cognitive radio, which can sense the spectrum environment and adapt its transmission parameters, are central to enabling effective DSS. The concept here is simple: why leave spectrum idle when someone else could be using it? The implementation, however, is anything but simple.

One prominent example of DSS in practice is the Citizens Broadband Radio Service (CBRS) in the United States, which operates in the 3.5 GHz band. CBRS employs a three-tiered access model: incumbent users (like the U.S. Navy) have primary access, followed by priority access licensees (PALs) who acquire licenses for specific channels, and finally, general authorized access (GAA) users who can use any available spectrum without a license. This tiered approach, managed by a Spectrum Access System (SAS), demonstrates how different users can coexist and share spectrum efficiently. While CBRS is a 5G technology, its principles are highly relevant for 6G spectrum management, offering a blueprint for how to integrate various types of users and services into a more flexible framework. The FCC continues to refine these models and explore their applicability to higher frequency bands. This isn’t just about technical feasibility. It’s about regulatory courage to move beyond decades-old licensing approaches.

Beyond DSS, regulators are also exploring other innovative licensing mechanisms. These include localized licensing, where small blocks of spectrum are licensed for specific geographic areas, supporting localized private networks or smart city applications. There’s also talk of spectrum commons or unlicensed bands, expanding on the success of Wi-Fi, where devices can operate without individual licenses, adhering instead to technical rules to prevent interference. The challenge here is ensuring that these unlicensed bands remain viable for high-performance applications, which often requires careful management of power levels and interference mitigation techniques. The UK’s Office of Communications (Ofcom, for instance, has been a proponent of shared access licensing and has published detailed reports on how these models can foster innovation and competition in the wireless sector. These models recognize that not all spectrum use cases are the same, and a one-size-fits-all approach is inherently inefficient.

The Role of AI and Machine Learning in Spectrum Optimization

The complexity of 6G spectrum, with its massive bandwidths, diverse use cases, and dynamic sharing requirements, will necessitate advanced tools for management and optimization. This is where artificial intelligence (AI) and machine learning (ML) are poised to play a far-reaching role. AI-driven systems can analyze vast amounts of real-time spectrum data, predict demand patterns, identify potential interference, and dynamically reconfigure network parameters to maximize efficiency. For example, an AI system could learn the traffic patterns in a specific urban area throughout the day and automatically adjust spectrum assignments to different cellular operators or private networks, ensuring optimal performance for all users. This moves beyond static allocation to a truly adaptive system.

Consider the scenario of a large-scale public event, such as a major sporting competition or a concert. Traditional spectrum planning might involve pre-allocating fixed blocks of spectrum to various broadcasters, security services, and mobile operators. An AI-powered system, however, could monitor the actual demand from thousands of users, detect fluctuations in network load, and reallocate spectrum resources in real time to prevent congestion and ensure smooth connectivity. This includes identifying underutilized channels in adjacent bands and temporarily assigning them to high-demand areas. This proactive and adaptive management is important for the ultra-reliable low-latency communication (URLLC) requirements of many 6G applications, where even momentary dips in performance could have significant consequences, such as in autonomous vehicle communication or remote surgery. The potential for AI to enhance spectrum utilization is immense, offering a pathway to efficiency that human operators simply cannot match.

Plus, ML algorithms can be trained on historical data to predict future spectrum needs, enabling more proactive planning and infrastructure deployment. This includes predicting areas of future growth, identifying optimal locations for new base stations, and even anticipating potential interference sources before they become a problem. The development of intelligent radio transceivers that can learn and adapt to their environment, optimizing their power output and modulation schemes based on real-time channel conditions, is another area of active research. These “cognitive radios” are fundamental to making dynamic spectrum sharing truly effective and will be a hallmark of 6G systems. Without AI and ML, managing the complexity of 6G spectrum would be an insurmountable task. They are not just enhancements, they are foundational technologies.

International Cooperation and Future Outlook

The future of 6G policy hinges on continued and intensified international cooperation. While WRC-23 laid important groundwork, the subsequent years leading up to the next WRC in 2027 will be critical for detailed technical studies, sharing of best practices, and building consensus on final spectrum allocations. Organizations like the 3rd Generation Partnership Project (3GPP), which develops technical specifications for mobile telecommunications, will play a vital role in defining the air interface and network architectures that can effectively use the newly allocated spectrum. Their work ensures that global standards are developed, fostering economies of scale for equipment manufacturers and promoting interoperability.

One significant challenge remains the geopolitical field, which can sometimes complicate technical cooperation. Despite these complexities, the global nature of telecommunications necessitates continued dialogue and agreement. Nations recognize that a fragmented 6G ecosystem would be detrimental to economic growth and technological progress for everyone. Therefore, even amidst broader disagreements, the technical committees and regulatory bodies often find common ground on issues of spectrum and standards. The shared goal is to unlock the far-reaching potential of 6G, which requires a global approach to spectrum management.

Looking ahead, the focus will not only be on new spectrum bands but also on how to more efficiently use existing ones. This includes developing advanced antenna technologies like reconfigurable intelligent surfaces (RIS) that can dynamically steer signals and overcome propagation challenges, especially in the higher frequency bands. These innovations are not just about finding more spectrum but about making every Hertz count. The path to 6G is a multi-faceted endeavor that combines regulatory foresight, technological innovation, and unwavering international collaboration. It’s a journey that will redefine connectivity as we know it, and the spectrum allocations being debated today are the very foundation of that future.

The successful allocation and management of 6G spectrum will require an unprecedented level of global coordination and technological innovation. By embracing dynamic sharing models and using AI, regulators can pave the way for a future where smooth, high-speed connectivity is ubiquitous, driving advancements across every sector of the economy.

What is the primary difference in spectrum approach between 5G and 6G?

While 5G primarily expanded into millimeter-wave (mmWave) bands (up to around 60 GHz) alongside mid-band frequencies, 6G is pushing significantly higher into sub-terahertz (sub-THz) and terahertz (THz) bands, often above 100 GHz, to achieve vastly greater bandwidth and data rates. This shift introduces new challenges in signal propagation and component design.

Why is global harmonization of 6G spectrum so important?

Global harmonization ensures that 6G devices and services can operate smoothly across different countries and regions. Without it, manufacturers face higher costs due to needing to produce multiple versions of equipment, and consumers experience fragmented service, which hinders widespread adoption and slows down technological advancement.

What are dynamic spectrum sharing (DSS) mechanisms and how do they benefit 6G?

Dynamic spectrum sharing (DSS) allows multiple users or operators to share the same frequency band, either simultaneously or on a time-sliced basis, based on real-time demand and availability. For 6G, DSS is critical for maximizing spectrum efficiency, especially in higher frequency bands where traditional fixed licensing might be inefficient due to varied usage patterns and propagation characteristics.

What role will AI and Machine Learning play in 6G spectrum management?

AI and Machine Learning will be essential for managing the complexity of 6G spectrum. They can analyze vast amounts of data to predict demand, identify interference, and dynamically reconfigure network parameters and spectrum allocations in real time. This enables optimal spectrum utilization, ensuring high performance and reliability for diverse 6G applications.

Which international body is responsible for coordinating global spectrum allocations for 6G?

The International Telecommunication Union (ITU), a specialized agency of the United Nations, is the primary body responsible for coordinating global spectrum allocations. Its World Radiocommunication Conferences (WRCs) are where member states negotiate and agree upon the global framework for radio-frequency spectrum usage, including for future technologies like 6G.

Corey Swanson

Senior Policy Analyst MPP, Georgetown University

Corey Swanson is a Senior Policy Analyst at the Center for Digital Futures, bringing over 14 years of experience to the field of tech policy. Her expertise lies in the ethical development and deployment of artificial intelligence, particularly concerning issues of bias and accountability. Previously, she served as a lead consultant for the Global Tech Governance Initiative, advising governments on responsible AI frameworks. Her seminal white paper, "Algorithmic Transparency in Public Sector Applications," has significantly influenced international policy discussions