At last week's Mobile World Congress (MWC) in Spain, Qualcomm's President and CEO Cristiano Amon systematically outlined the company's strategic vision for 6G technology, setting the tone for this year's event. Amon's central thesis was clear: "The mission of 6G is to become the wireless communication technology that empowers the AI era, making AI ubiquitous."
In other words, 6G represents the first generation of mobile communication technology that is reshaped by AI, designed for AI, and empowers AI. To achieve this goal, 6G development will be built around three foundational pillars: connectivity, computing, and sensing.
This perspective aligns with the theme chosen by the event's organizer, "The IQ Era." The focus is on intelligence, particularly the deep integration of AI with connectivity and networks, as the dominant force defining the next era of digital transformation.
According to the GSMA's interpretation, the core proposition for 2026 has shifted to "processing and interpretation capabilities"—data is no longer the end goal; extracting intelligence from data is.
Against the backdrop of widespread AI adoption, a consensus is forming within the industry: the value of mobile networks no longer depends solely on connection speed, but on their systemic capability to carry and drive intelligence, serving as the link between connection technology, commercial value, and societal impact.
A review of previous wireless communication generations reveals that each carried a specific historical mission. 2G achieved the digitization and popularization of voice communication. 3G built the foundational capability for mobile devices to access the internet. 4G propelled the comprehensive prosperity of the smartphone ecosystem, reshaping the industrial landscape for content consumption and mobile payments. 5G established new technical benchmarks in areas like high-definition video, low-latency communication, and the industrial internet. As AI applications rapidly extend from the cloud to the edge, 6G is accelerating its arrival as the "first wireless system specifically built for the AI era."
**Building 6G for the AI Era**
The demands AI places on networks are fundamentally different from those of human users. Traditional network traffic exhibits cyclical, predictable characteristics. In contrast, the operational patterns of AI agents are截然不同—they require continuous environmental perception, real-time collection and uploading of multi-modal data, and instant triggering of model inference. This imposes systemic requirements for 24/7 operation, high uplink bandwidth, and strictly low latency.
The current industry transformation involves a paradigm shift from being "smartphone-centric" to "agent-centric." Beyond smartphones, diverse terminal forms like smart glasses, connected vehicles, humanoid robots, and industrial sensors will become extended nodes for AI agents, continuously generating, uploading, and consuming massive data. This places demands on network uplink capabilities far exceeding those of 5G.
6G development will unfold across three core dimensions—connectivity, computing, and sensing—which together constitute the systemic innovation distinguishing 6G from previous generations.
In terms of connectivity, a core goal of 6G is to achieve at least a 50% to 70% capacity increase in low- and mid-band FDD spectrum, while significantly enhancing uplink capability to meet the systemic need for agent terminals to continuously upload environmental data. This represents a fundamental redesign for AI agents.
A more forward-looking breakthrough involves the deep integration of AI with the physical layer. AI will directly participate in radio frequency channel prediction and optimization, replacing traditional channel estimation methods, enabling terminals to maintain stable data transmission even in weak coverage scenarios.
Regarding computing, 6G networks will evolve from traditional data transmission pipelines into distributed data center networks designed for AI. Computing power will permeate all levels of the Radio Access Network (RAN)—base stations will handle millisecond-level real-time decisions, edge data centers will perform labeling, cleaning, and enhancement of massive data, which then aggregates upward to cloud-based large models. This architectural shift means telecom infrastructure will, for the first time, become an active computing node in the full AI chain, rather than a passive transmission carrier.
For sensing, 6G introduces a completely new capability unprecedented in previous wireless generations: Integrated Sensing and Communication (ISAC). Leveraging radio frequency signals themselves, 6G networks will possess radar-grade environmental sensing capabilities, supporting real-time city-scale 3D mapping, centimeter or even millimeter-level precise drone detection, and real-time perception and understanding of road vehicles, cyclists, and pedestrians.
For autonomous driving and the low-altitude economy, this means the entire communication network infrastructure can be upgraded into a continuously operating spatial perception system, fundamentally expanding the capability boundaries of wireless networks.
**Accelerating the 6G Standardization Process**
Qualcomm's technical propositions for 6G are built upon four decades of continuous investment in fundamental research and standardization work. This history is key to understanding the credibility of Qualcomm's 6G strategy.
Since its founding in 1985, Qualcomm has focused on CDMA (Code Division Multiple Access) technology. CDMA is the foundational technology for 3G wireless services and a core concept in successive mobile communication networks. In the 4G era, Qualcomm continued to submit influential standard proposals in core technology areas like OFDM, MIMO, and carrier aggregation, contributing fundamental technical concepts to 4G LTE. During the 5G phase, utilizing OFDM for flexible configuration of diverse network and RF conditions, along with foundational channel coding schemes, are among Qualcomm's contributions to core 5G technologies. From early CDMA to laying the groundwork for 6G today, Qualcomm has been deeply involved in cellular technology evolution, possessing leading technical expertise in nearly all key cellular communication fields.
Furthermore, prototype validation is a crucial step between a technical proposal being incorporated into a standard and its commercial implementation. Qualcomm has long been a global leader in introducing prototype devices and systems, conducting early technical demonstrations to validate feasibility for the industry. While 5G commercialization began in 2019, Qualcomm launched the world's first commercial 5G modem, the Snapdragon X50, as early as 2016, leading the entire industry process from setting standards to achieving mass production of commercial chips.
This complete innovation chain, from fundamental technology breakthroughs to commercial deployment, relies on Qualcomm's long-term commitment of investing approximately 20% of its annual revenue into R&D. To date, cumulative R&D investment exceeds $110 billion, covering full-chain innovation capability building from fundamental theoretical research to engineering implementation and validation.
In the current 6G standardization process within 3GPP, it has been confirmed that several core 5G technologies will continue and evolve within the 6G framework, including massive MIMO, OFDM waveforms, and flexible frame structures. The strong continuity in wireless technology evolution provides favorable conditions for the smooth migration of Qualcomm's 5G-era technological assets to 6G.
By enabling highly efficient Integrated Sensing and Communication through foundational 6G air interface characteristics, Qualcomm is collaborating with the entire industry to drive 3GPP standardization. During this MWC, Qualcomm conducted an end-to-end 6G prototype system technology demonstration, showcasing increased uplink and downlink throughput alongside higher spectral efficiency. Additionally, Qualcomm announced the world's first modem and RF system, the X105, ready for 3GPP Release 19, providing a commercial hardware foundation for 6G development and testing.
The large-scale commercialization of wireless communication technology has never been the achievement of a single company, but a systematic engineering effort advanced collaboratively by the entire industry chain under unified standards. This principle will be even more pronounced in the 6G era.
Regarding 6G, nearly 60 leading global industry players—including major operators, network equipment providers, cloud service providers, and automakers—have reached a consensus on its development. A clear commercialization roadmap has been established: pre-commercial terminals and network technology demonstrations conforming to 6G specifications by 2028, readiness across chipsets, terminals, and infrastructure by the end of 2028, and initial deployment of global, interoperable commercial 6G systems starting in 2029.
**New Frontiers Enabled by 6G Technology**
The value of 6G's technical capabilities will be most significant in scenarios where current AI applications cannot be effectively supported.
In autonomous driving, 6G's ISAC capability can upgrade urban road networks into continuously operating spatial perception infrastructure, enabling real-time 3D perception and trajectory prediction of all dynamic objects. This compensates for the inherent limitations of single-vehicle intelligence in coverage range and data dimensions, providing a network-level perceptual foundation for vehicle-infrastructure cooperation.
In embodied AI and humanoid robotics, the real-time operation of physical AI relies on continuous environmental sensory data input and low-latency inference feedback. 6G's edge computing architecture can offload critical inference tasks to network edge nodes, avoiding real-time response deficits caused by round-trip cloud latency, thereby providing communication-layer assurance for stable robot operation in dynamic, unstructured environments.
On the data production chain for AI large models, 6G's high uplink bandwidth capability will enable effective aggregation of real-world multi-modal data from edge terminals—such as smart glasses, in-vehicle vision systems, and industrial sensor arrays—providing data infrastructure support for the training and continuous iteration of foundational models oriented towards the physical world.
Wireless communication technology undergoes a generational evolution approximately every decade, with each evolution tasked with empowering a new industrial era. A growing belief is that "6G is the wireless infrastructure for the AI era." The inherent logic of technological evolution has shifted from a bandwidth competition to the systemic construction of AI-native capabilities.
From CDMA prototype validation to the global debut of 5G modems, and now to this year's end-to-end 6G prototype demonstration, the path Qualcomm has followed in each generational transition remains consistent: establishing the credibility of its technical propositions through long-term fundamental research, building industry consensus on the technical roadmap through systemic standard contributions, and promoting the transition of technology from the lab to large-scale commercialization through cross-industry chain collaboration. This path is now unfolding once again in the 6G era.
As Amon stated, the evolution of each generation of wireless technology requires large-scale industry collaboration, and the breadth and depth of collaboration needed for 6G will surpass that of any previous generation. Facing the commercial time window around 2029, the synchronous advancement of three main tracks—technical validation, standard maturity, and industry collaboration—will collectively determine whether this generation of technology can fulfill its historical mission.
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