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

How Small Businesses Can Master Payroll and Compliance

The moment an ambitious founder signs the paperwork for their very first hire, they unwittingly step across an invisible threshold from simple entrepreneurship into the high-stakes arena of federal and state tax regulation. This transition is often quiet, masked by the excitement of a growing team and the urgent demands of a scaling product. Yet, beneath the surface of that

Is AI the Problem or Is It How We Use It in Hiring?

A job seeker spends an entire Sunday afternoon meticulously tailoring a resume and answering complex behavioral prompts, only to receive a standardized rejection email less than ninety minutes after clicking submit. This “two-hour rejection” has become a defining characteristic of the modern job market, creating a profound sense of alienation among professionals who feel they are screaming into a digital

Is Generative AI Slowing Down the Recruitment Process?

The traditional handshake between talent and opportunity has morphed into a high-stakes digital standoff where algorithmic speed creates massive human resource bottlenecks. While generative artificial intelligence promised to streamline the matching of candidates to roles, it has instead ignited a digital arms race that threatens to bury hiring managers under a mountain of synthetic perfection. Today, the ease of generating

AI Use by Job Seekers Slows Down the Hiring Process

The global labor market is currently facing an unprecedented crisis where the very tools designed to accelerate professional connections are instead creating a massive digital bottleneck in the talent pipeline. While the initial promise of generative artificial intelligence was to streamline the match between skills and vacancies, the reality in 2026 has shifted toward a high-stakes game of algorithmic hide-and-seek.

Is AI Eliminating the Entry-Level Career Path?

The traditional corporate hierarchy is currently navigating a foundational structural shift that threatens to dismantle the decades-old “entry-level gateway” once used by every aspiring professional to launch a career. As of 2026, the modern workplace is no longer a predictable ladder where young graduates perform foundational tasks to earn their climb; instead, it has become an automated landscape where cognitive