Companies Unite to Research and Trial Pre-Standardized 6G Networks

The world of technology is rapidly advancing, and the sixth-generation of mobile network technology, 6G, is just around the corner. Predicted to revolutionize communication and data exchange, the first commercially available systems are expected for 2030. With the early stages of standardization likely beginning in 2025, followed by 3GPP Release 21 in 2028 containing the first 6G specification, 6G technology is shaping up to be a game-changer.

Leading mobile service providers NTT and Docomo are at the forefront of 6G development, working with five different providers—Nokia, Fujitsu, NEC, Ericsson and Keysight Technologies—to broaden the scope of the technology. Together, they have already achieved some impressive feats, proving that a single 256QAM connection can reach 25 Gbps over a 144 GHz beamforming frequency. Furthermore, Nokia has been implementing AI and machine learning into the radio air interface to give 6G radios the ability to learn autonomously.

In order for 6G technology to become a reality, it must go through an extensive development process. The first step in this process is standardization, which is expected to begin in 2025. This is followed by 3GPP Release 21 in 2028 containing the first 6G specification. This will be followed by a period of testing and trialing pre-standardized 6G networks and related AI technology. NTT and Docomo have already started this process, teaming up with Nokia, Fujitsu, NEC and Ericsson to research and trial pre-standardized 6G networks and related AI technology. In June 2022, the companies are planning to begin the trialing process in order to ensure that 6G technology meets its full potential before being released commercially.

6G technology is set to revolutionize communication and data exchange with its impressive speeds and capabilities. One of the key features of 6G is its use of 256QAM connections which can reach speeds of 25 Gbps over a 144 GHz beamforming frequency. This means that data can be transferred at incredibly fast speeds, making it ideal for applications such as streaming high-definition video or downloading large files quickly. Furthermore, Nokia has been implementing AI and machine learning into the radio air interface to give 6G radios the ability to learn autonomously. This AI technology has already proved to be successful in tests as it has enabled 6G radios to achieve greater levels of accuracy when it comes to predicting data transfers and ensuring that networks remain reliable at all times.

In order to ensure that 6G technology meets its full potential before being released commercially, NTT and Docomo have joined forces with Nokia, Fujitsu, NEC and Ericsson to research and trial pre-standardized 6G networks and related AI technology. The trials are planned to begin in June 2022 and will test the capabilities of 6G technology before it is officially released on the market. These trials will focus on a number of different aspects including data transfer speeds, latency levels, power consumption levels and more. They will also assess how well the AI technology performs when it comes to predicting data transfer rates and ensuring that networks remain reliable at all times.

6G technology promises to revolutionize communication and data exchange with its impressive speeds and capabilities. With its use of 256QAM connections reaching 25 Gbps over a 144 GHz beamforming frequency as well as AI and machine learning incorporated into its radio air interface, 6G technology is set to be a game-changer when it comes to communication and data exchange. In order to ensure that 6G technology meets its full potential before being released commercially, NTT and Docomo have joined forces with Nokia, Fujitsu, NEC and Ericsson to research and trial pre-standardized 6G networks and related AI technology prior to its release on the market. Once these trials have been completed successfully, we can expect to see 6G technology become available commercially in 2030 – transforming communication and data exchange as we know it today.

Explore more

Hotels Must Rethink Recruitment to Attract Top Talent

With decades of experience guiding organizations through technological and cultural transformations, HRTech expert Ling-Yi Tsai has become a vital voice in the conversation around modern talent strategy. Specializing in the integration of analytics and technology across the entire employee lifecycle, she offers a sharp, data-driven perspective on why the hospitality industry’s traditional recruitment models are failing and what it takes

Trend Analysis: AI Disruption in Hiring

In a profound paradox of the modern era, the very artificial intelligence designed to connect and streamline our world is now systematically eroding the foundational trust of the hiring process. The advent of powerful generative AI has rendered traditional application materials, such as resumes and cover letters, into increasingly unreliable artifacts, compelling a fundamental and costly overhaul of recruitment methodologies.

Is AI Sparking a Hiring Race to the Bottom?

Submitting over 900 job applications only to face a wall of algorithmic silence has become an unsettlingly common narrative in the modern professional’s quest for employment. This staggering volume, once a sign of extreme dedication, now highlights a fundamental shift in the hiring landscape. The proliferation of Artificial Intelligence in recruitment, designed to streamline and simplify the process, has instead

Is Intel About to Reclaim the Laptop Crown?

A recently surfaced benchmark report has sent tremors through the tech industry, suggesting the long-established narrative of AMD’s mobile CPU dominance might be on the verge of a dramatic rewrite. For several product generations, the market has followed a predictable script: AMD’s Ryzen processors set the bar for performance and efficiency, while Intel worked diligently to close the gap. Now,

Trend Analysis: Hybrid Chiplet Processors

The long-reigning era of the monolithic chip, where a processor’s entire identity was etched into a single piece of silicon, is definitively drawing to a close, making way for a future built on modular, interconnected components. This fundamental shift toward hybrid chiplet technology represents more than just a new design philosophy; it is the industry’s strategic answer to the slowing