The general consensus is that edge computing and the cloud will play major roles in 6G architecture.
This is because powerful edge servers will be needed as an intermediate layer to provide localized and ultra-low latency processing for real-time applications.
6G networks are envisioned to fully and seamlessly integrate various verticals such as Internet of Things (IoT), aerial networks (aka drones), satellite access, and underwater communication. To keep up with this staggering expectation, future networks will likely rely on state-of-the-art artificial intelligence (AI) and machine learning (ML) technologies for intelligent network operations and management.
In addition to the infrastructural transformations, 6G networks are also expected to support computationally intensive services and applications.
To support the two major transformations in network infrastructures and network services, edge computing has gained significant attention and is considered as a built-in service in 6G networks. Although, a huge amount of research literature has been dedicated on MEC capabilities such as caching services and computation offloading techniques, there has been very limited insights on MEC deployment.
6G is also expected to make greater use of cloud technology.
One of the shortcomings of traditional cloud computing architecture is that it doesn’t meet the ultra-low latency of contemporary wireless networks. The higher delay in cloud computing is mainly caused by the inherited longer distance from the end-users. Edge computing overcomes this by bringing computing and storage capabilities closer to the end-users.
Like the evolution of all technologies, including faster networks and mobile, 6G will further transform how we do business, manage and operate our community infrastructures, and live. Key to the promise of 6G, sensing is the basis for all interaction with and emulation of the physical environment, and its potential extends to autonomous vehicles, smart factories, precision healthcare, and much more.
If 6G were available today, developers would most certainly be eager to leverage its anticipated attributes. 6G’s exceptional data rates, low latency, secure reliability, agility, and dynamic insights will expand the scope of capabilities to support new and innovative applications in wireless connectivity, cognition, sensing, and imaging.
We can already feel the demand pull for 6G by examining the applications being deployed today. For example, technology trends seen with 5G, such as virtualized networks, are setting the stage for 6G by enabling things like specialized deployments. Operators have densified radio networks with more antennas. It is now easier to get a signal, especially indoors. Users now have close access to data storage and processing through cloud technologies and edge computing. Even at scale, latency is much lower.
The cloud and edge computing will help 6G perform as expected.
Want to learn more? Tonex offers 6G Cloud & Edge Computing Training, a 2-day course that enables participants to understand how 6G is enabling the integration of diverse technologies such as AI, robotics, cloud, and edge computing.
Participants learn about:
- Basics of Cloud Computing
- Edge Computing basics & Use-Cases
- Benefits of Edge Computing & Types of Edge
- Edge Deployment Modes / Solutions
- 5G / 6G Edge Computing
- Fundamentals of Multi-access Edge Computing (MEC)
- Mobile Edge Computing Fundamentals
- Workshop/ Case studies and more
For more information, questions, comments, contact us.