MEGANETLAB 6G

A laboratory for the research of ultra-low latency and ultra-high density network technologies based on the widespread use of artificial intelligence for 6G networks.

Project objectives: 1. Development of principles for building sixth-generation communication networks, taking into account the peculiarities of the territorial and administrative division of the Russian Federation, different population densities, the placement of labor resources across the country in accordance with types of economic activity, road network, landscape and distances between settlements. 2. Development of methods for constructing fractal communication networks in three-dimensional space and ultra-high density of up to 100 devices per 1 cubic meter and methods for planning such networks in an inhomogeneous environment. 3. Development of optimal routing methods under conditions of restrictions caused by the excess density of the network in three-dimensional space, the influence of the load of neighboring nodes on the quality of service in a specifically selected route and ensuring the stability of the communication network under impacts on the network leading to the failure of nodes and/or fragments of the network. 4. Development of methods for placing network routers in a three-dimensional super-dense space and a biomass-saturated space that interferes with the passage of terahertz signals, including in crowded conditions at a stadium, street, etc. 5. Development of a model network for research and training of technologies and services provided by 6G networks. The creation of a laboratory for 6G networks and services based on a model network has set the stage for the formation of a model network for research and training in the field of telepresence services. 6. Development of methods for transmitting holographic copies of a person in the context of ultra-low latency network technologies in three-dimensional 6G communication networks and determining the requirements for the quality of service and the quality of perception for such services. 7. Development of methods for providing augmented reality services in the context of ultra-low latency network technologies in 3-dimensional 6G communication networks and definition of service quality and perception quality requirements for such services. 8. Development of methods for providing services using robot avatars in the context of ultra-low latency network technologies in 3-dimensional 6G communication networks and definition of requirements for the quality of service and the quality of perception for such services. 9. Development of methods for providing services using humanoid robots in the context of ultra-low latency network technologies in 3-dimensional 6G communication networks and determination of service quality and perception quality requirements for such services. 10. Development of methods for placing network routers on tethered unmanned aerial vehicles (UAVs) and providing routing using a swarm of UAVs in a three-dimensional super-dense space and a biomass-saturated space that interferes with the passage of terahertz signals, including in conditions of crowds at the stadium, street, etc. 11. Development of traffic forecasting algorithms and other characteristics networks based on machine and deep learning in 3-dimensional 6G networks to ensure the rational allocation of network resources as a whole and/or its fragments in conditions of ultra-large data, ultra-low delays, requirements for ultra-high reliability and to ensure the stability of 6G communication networks. 12. Development of algorithms for migration of services based on machine and deep learning to balance traffic, non-discriminatory access to 6G communication network services for all users, regardless of whether it is a human or a robot, ensuring service quality indicators and the quality of perception and stability of the 6G communication network. 13. Research of network coding technology for 6G networks, including the influence of network coding methods on the amount of delay in 6G networks. The formation of an approach and the study of the features of the use of artificial intelligence technologies in network coding. Investigation of noise-tolerant coding methods for 6G networks, including the effect of noise-tolerant coding methods on the amount of delay in 6G networks. Development of adaptive noise-tolerant coding methods based on artificial intelligence systems for 6G networks. 14. Research and development of requirements for the accuracy and speed of network positioning methods for mobile and fixed devices in three-dimensional superdense 6G networks. Research and development of models and methods for evaluating the accuracy and speed of determining the time and angle of arrival of a signal for mobile and stationary devices in three-dimensional superdense 6G networks. Research and development of models and methods for secondary processing of primary measurements of the time and angle of arrival of the signal in the equipment of stationary devices in three-dimensional superdense 6G networks. 15. Development of new network protocols for 6G communication networks, taking into account their features described in the previous paragraphs.