Digital twins — digital fashions of bodily methods like 6G, NTN, and 5G — make it doable to simulate, analyze, and optimize all community methods and parts, together with their non-terrestrial components. That is particularly helpful for accelerating rollouts and figuring out bottlenecks and downsides earlier than they grow to be actual issues.
On this two-part weblog collection, we are going to look at how implementing digital twins can profit community tools producers and cell operators and discover its function in R&D acceleration, website deployment automation, spectrum and power optimization. We’ll present use circumstances, proposed system particulars, and examples of how VIAVI is implementing and delivering such expertise with its companions.
Learn half 1 right here.
Advantages of digital twins for community operators
In our final weblog, we examined the event and rollout of community tools. Specifically, we checked out how digital twins facilitate interoperability and efficiency validation, whereas additionally enabling the identification of potential failures and the modeling of cyberattacks. This functionality is very essential in Open RAN environments, the place the disaggregation of radio, distributed, and central models (RU, DU, and CU) introduces extra interfaces, considerably increasing the menace floor and complexity of integration.
For cell community operators, digital twin performance has some overlap, notably on safety, but in addition have three vital further capabilities.
In engineering, planning, and optimization, digital twins allow a virtual-first mannequin to be applied the place community designs and configurations are simulated and examined earlier than the bodily implementation. Right here, they can be utilized to establish bottlenecks and optimize the visitors circulation on the community to boost general efficiency. Failures might be predicted and glued earlier than they grow to be problematic.
This functionality is very essential for the evolution towards 6G networks, because it permits testing of rising applied sciences and prediction of their real-world conduct. Digital twins present insights that transcend remoted parts, permitting operators to mannequin the whole community lifecycle, from design and deployment to operation and optimization. This holistic strategy helps simpler long-term planning whereas enhancing connectivity, reliability, and cost-efficiency.
Second is power utilization, a rising concern because the telecom business faces rising strain to scale back its environmental footprint. 6G, with AI/ML-based optimization at its core, is predicted to be extra power environment friendly than 5G. Based on a 2021 IEEE paper, it might require as much as 50% decrease transmit powers to ship the identical bandwidth/information fee. Nonetheless, this effectivity achieve have to be considered via the lens of Jevons Paradox: as networks grow to be quicker and extra responsive, person demand tends to rise, probably offsetting the environmental advantages. To counteract this, digital twins can be utilized to create real-time views and detect inefficiencies earlier, in addition to to optimize processes which are power intensive and alter energy utilization dynamically.
That is achieved via the simulation of community configurations to establish probably the most environment friendly design and optimize infrastructure accordingly. We’ll look at this in additional element in our subsequent weblog.
Lastly, digital twins, and its unbiased AI engines and information, may also be used to validate the predictions made by AI inference fashions and are subsequently a significant ingredient in automated operation (or the Darkish NOC).
Applied sciences underpinning digital twin networks
Making a digital twin requires a number of steps, and each might be (to a higher or lesser extent) distinctive. Nonetheless, there are a number of core components and steps that have to be applied.
First on our listing is channel modeling utilizing an AI-powered ray tracing software (VIAVI Air Interface Emulation). This permits channel prediction for 3D environments and helps planning for each indoor and outside situations. Notably this contains not solely protection, however interference optimization for large MIMO.
Subsequent is visitors modeling, utilizing the TM500 wi-fi community tester to emulate a number of hundreds of units on the community, with system-level RAN behaviors on the digital twin simulated by way of the TeraVM AI RSG (RAN State of affairs Generator).
This AI RSG software is able to emulating an enormous number of each topologies and configurations. Mobility patterns and visitors profiles may also be emulated utilizing actual and artificial maps. The ensuing real-world information from the channel and visitors modeling is used to coach and take a look at the AI engines.
After all, for the digital twin to offer actual, actionable perception, it must be a twin of the community as it’s… not because it was when created or final up to date. To allow this, VIAVI maintains synchronization with the bodily community, permitting validation to be carried out on an correct, up-to-date illustration of the community state.
Extra clever information may also be gained via instruments corresponding to VIAVI’s NITRO Location Intelligence. This can be utilized to investigate each interplay between subscribers / IoT units and the community. This contextual info permits for a greater understanding of points and optimization alternatives. And within the digital twin situation, this software permits AI analytics for remodeling community information into insights.
Taking this one stage additional, instruments corresponding to NITRO AIOps can allow a extra real looking twin, by facilitating the gathering and aggregation of giant swathes of knowledge for the dual. All that is earlier than we even take into consideration modeling for particular situations corresponding to safety or automation.
Good examples of those methods in motion might be seen in Europe’s 6G-Twin challenge, which is implementing reactive and predictive community digital twins to allow tele-operated driving.
These methods create a robust basis for the design, implementation and validation of an AI-native reference structure for 6G methods, that are used for improved mobility and power effectivity.
Digital twin use case examples for community operators
On this part, we’ve briefly outlined two situations by which digital twins allow community operators to 1) forestall signaling storms throughout a DoS assault, and a couple of) higher handle beam administration and handover algorithm validation in car (V2X/V2N) communications.
In every, we’ve listed and linked to the instruments required for this, with additional particulars listed in our white paper on digital twins.
Stopping signaling storms in DoS/DDoS assaults
Signaling storms – which occur when a community is overwhelmed by extreme control-plane signaling – have been the reason for a number of main outages. These embody vital service outages Telenor, Verizon and NTT DoCoMo that lasted for as much as 24 hours.
Whereas signaling storms can occur naturally, control-plane signaling is a vulnerability that may be focused in DoS/DDoS assaults. This vulnerability must be examined in a sandbox surroundings.
Constructing such a digital twin to permit a protected assault on the 5G, 6G or IoT community would require three core components.
The start line could be an AI RSG (TeraVM AI RAN State of affairs Generator) simulating system-level RAN behaviors. Visitors would then have to be modelled, with hundreds of units emulated to create strain on the digital twin community utilizing the TM500 wi-fi community tester. Lastly, a vRAN emulator could be wanted such because the TeraVM-vRAN 5G Emulator, which provides a controllable and repeatable take a look at surroundings for the implementation of 3GPP requirements.
Beam administration and handover algorithm validation for V2X/V2N comms
Because the automotive business advances towards large-scale deployment of autonomous automobiles, dependable and ultra-low-latency communication turns into important for each vehicle-to-vehicle (V2V) and vehicle-to-infrastructure. On this context, latency isn’t only a technical concern; it’s a matter of security. The success of V2X (vehicle-to-everything) communications will rely closely on the capabilities of 6G networks, significantly in lowering latency and supporting superior beam administration and seamless handovers.
These applied sciences should endure rigorous testing and validation earlier than being deployed in 1.5- to 2-ton autonomous automobiles working in environments shared with pedestrians and cyclists. Understanding interference patterns and minimizing inter-user interference are essential. System-level RAN behaviors have to be precisely simulated – ideally utilizing AI-driven Radio State of affairs Turbines (RSGs) – to foretell real-world efficiency. Ray tracing methods can improve these simulations by emulating dynamic environments, together with shifting automobiles, pedestrians, cyclists, buildings, and street infrastructure.
Evolving digital twin options
VIAVI presents a versatile and scalable answer for digital twins that allows the choice of both particular person parts or full RAN-to-Core digital twin.
The corporate has a protracted historical past of offering options throughout lab, subject, and operations, and with a number one R&D staff, will help you reveal the accuracy and worth of community tools.
For extra info on our digital twin options, obtain our white paper.
