6G Vision and Requirements

IMT-2030 as the framework for 6G development

Sixth-generation mobile systems are being developed within the International Telecommunication Union's IMT-2030 program. ITU-R Recommendation M.2160 describes the framework, usage scenarios, and development directions, but it is not yet a radio-interface specification. The term 6G therefore covers a standardization and research stage preceding commercial network deployment.

In February 2026, ITU-R Working Party 5D completed a draft of the IMT-2030 technical performance requirements. The document will support later evaluation of candidate radio technologies and is awaiting formal approval within ITU-R. Recommendation M.2160 allows some members to begin deployments around 2030, but this is not a guaranteed commercialization date. Figures in vision documents must be distinguished from minimum evaluation requirements and from results achieved by future deployments. A draft requirement guides evaluation, while a deployed product also depends on spectrum, hardware, regulation, coverage planning, operator choices, local deployment scale, and economics. This distinction remains important during evaluation. Product availability will also depend on implementation and market decisions after standardization.

IMT-2030 usage scenarios and overarching aspects

ITU defines six IMT-2030 usage scenarios. The official names are Immersive Communication, Hyper Reliable and Low-Latency Communication, Massive Communication, Ubiquitous Connectivity, Artificial Intelligence and Communication, and Integrated Sensing and Communication. Six didactic labels connect those scenarios with the M.2160 overarching aspects of sustainability, security and resilience, connecting the unconnected, and ubiquitous intelligence. The labels remain explanatory and do not add a seventh usage scenario. The scenarios help formulate requirements, but they do not imply that every network or device will achieve all limiting values simultaneously.

To show the technical scale, M.2160 gives example ranges for a user rate of $300$ or $500$ Mbit/s, area traffic capacity of $30$ or $50$ Mbit/s per square metre, connection density from $10^6$ to $10^8$ devices per square kilometre, mobility from $500$ to $1000$ km/h, and positioning accuracy from $1$ to $10$ cm. These are estimated values for assessing directions, not parameters promised by one device.

Peak data rate is an ideal reference, user rate describes an experience in a defined scenario, and connection density describes an area-scale capacity. The figures are not a simultaneous commitment for one network. Massive Communication covers scenarios with very large numbers of sensors, while Immersive Communication and HRLLC motivate parts of the data-rate and latency discussion.

The first label combines immersive communication with HRLLC, the second relates to AIAC, the third to ISAC, and the fifth to Ubiquitous Connectivity. Security, resilience, and sustainability are cross-cutting aspects. This mapping separates usage scenarios from overarching properties and does not present them as mandatory radio-interface functions.

Extreme Connectivity and Performance:
ITU-R Recommendation M.2160 provides estimated research ranges rather than guaranteed network parameters. It identifies peak data-rate values of $50$ , $100$ , and $200$ Gbit/s. The estimated range is $0.1$ to $1$ ms, while the probability of successfully delivering a packet within the required time is expressed as a range from $1-10^{-5}$ to $1-10^{-7}$ . This is not the same metric as service availability expressed in nines. Achievable values depend on the scenario, band, range, and system configuration. Such requirements are considered for immersive communication, control, and the where one can remotely touch and manipulate objects, and highly synchronized collaborative robotics.
Ubiquitous Artificial Intelligence (AI):
One research direction is an "AI-native" network in which machine-learning algorithms support network management and optimization. An AI-powered base station could learn propagation patterns, steer beams, predict user movement before a handoff, and reallocate resources during congestion. A distributed learning system could combine the cloud, the network edge, and end devices. These are design directions associated with Artificial Intelligence and Communication, not requirements for a finished radio interface.
Convergence of Sensing and Communication:
This pillar corresponds to Integrated Sensing and Communication. Research systems use transmitted waves and reflections for sensing, imaging, and positioning. The same signals can support a real-time map of the physical environment. Example scenarios include traffic analysis without cameras, room modeling in darkness, and robot tracking on a factory floor. Centimeter-level accuracy depends on the band, geometry, algorithms, and configuration, so these capabilities remain research targets.
Extreme Trustworthiness and Security:
Integrating future networks with critical infrastructure and autonomous systems raises requirements for security, privacy, and resilience. Research considers "zero trust" architectures, authentication based on radio-channel properties, AI-assisted threat detection, and blockchain for selected trust records. These are candidate design directions rather than mandatory M.2160 components. The overarching trustworthiness aspect addresses the effects of failures and abuse, as well as data protection and operational continuity.
Global Connectivity and Coverage:
While previous generations have made great strides, a significant portion of the world's population and landmass remains unconnected. One IMT-2030 aspect is connecting the unconnected through integration of network technologies. Terrestrial networks can cooperate with , including Low Earth Orbit (LEO) constellations such as Starlink, Medium Earth Orbit (MEO) and Geostationary (GEO) satellites, high-altitude platforms (HAPS), and drones. A future device could switch between a ground cell, a satellite link, and a temporary drone network, but such integration depends on standards, regulation, and deployment.
Sustainability and Energy Efficiency:
Growth in data traffic and connected devices increases the importance of sustainability. Researchers study energy efficiency measured in bits per Joule, energy-efficient hardware, sleep modes, and AI-assisted power management. Delivering more data with a similar or lower energy footprint than 5G is a research goal, not a guaranteed deployment parameter.

Technologies studied for 6G

Achieving this vision requires further technology research. Researchers are examining several areas that could become components of 6G networks.

New Spectrum: Terahertz (THz) Communication: For data rates in the terabit-per-second range, research considers much higher frequency bands. One direction is the . It offers potentially wide channels, but signals have short range and are sensitive to blockage. ITU-R M.2160 considers bands above 92 GHz for selected scenarios without requiring THz operation.
Reconfigurable Intelligent Surfaces (RIS): RIS, also called intelligent reflecting surfaces, is a research direction that uses programmable elements to control radio-wave reflections. A wall surface could direct a Wi-Fi or future-network signal toward a device and reduce a dead spot. Results depend on materials, geometry, losses, and control, so RIS remains a candidate technology rather than a 6G requirement.
Advanced Antenna and Network Topologies: One research direction is . A user can be served by several cooperating access points instead of one cell site, which may improve signal quality, reliability, and throughput near the service boundary.
New Network Architectures: 6G research includes cloud-native functions, virtualization, open interfaces, distributed computing, and AI at several levels. This direction could increase flexibility and move some functions from a hierarchical core toward distributed infrastructure.

Research applications

A research goal for 6G is to enable new ways of interacting with technology and the world. The examples are currently demonstrators or research scenarios that guide further work.

Holographic Telepresence: A research scenario with high-resolution, real-time 3D representations of people and objects for remote meetings and interactions.
Digital Twins: The creation of a high-fidelity, real-time virtual replica of a physical object, system, or environment. A digital twin of an entire factory could be used to simulate changes, predict maintenance needs, and optimize operations without affecting the physical facility. A digital twin of a city could model traffic flow and environmental conditions.
Connected Robotics and Autonomous Systems: A scenario with fleets of autonomous vehicles, drones, and factory robots that could collaborate at low latency while performing coordinated tasks.
Brain-Computer Interfaces (BCI): A more speculative element of the 6G vision involves direct communication between the human brain and machines, potentially controlling devices through thought or receiving sensory information directly from the digital world.

Integrating technology into daily life raises questions about privacy, ethics, and the digital divide. Developing 6G is a technical and societal challenge, so future deployments will require impact assessment and responsible design principles.