About the laboratory
Organization name: Federal State Budgetary Educational Institution of Higher Education "The Bonch-Bruevich Saint Petersburg State University of Telecommunications".
Leading scientist: Ahmed Abdelrahim Abd El-Latif.
Federal project outcome: World-class laboratories have been established under the leadership of world-renowned leading scientists, including compatriots living abroad.
Priority area of scientific and technological development of the Russian Federation: 20a – Transition to advanced digital and intelligent manufacturing technologies, robotic systems, new materials and design methods, creation of systems for processing large volumes of data, machine learning, and artificial intelligence.
Field of science: Computer, information sciences and technologies.
Scientific research area (project topic): Research of ultra-low latency and ultra-high density network technologies based on the extensive use of artificial intelligence for 6G networks.
Project Goal: Creation of scientific foundations for the early implementation of sixth-generation 6G communication networks with the rational use of artificial intelligence technologies in core network technologies upon which 6G can be effectively implemented.
Project objectives:
- Development of principles for constructing sixth-generation communication networks, accounting for the territorial-administrative division of the Russian Federation, varying population densities, distribution of labor resources across the country by economic activity, road networks, landscape, and distances between settlements.
- Development of methods for constructing fractal communication networks in three-dimensional space with ultra-high density of up to 100 devices per cubic meter, and methodologies for planning such networks in heterogeneous environments.
- Development of optimal routing methods under constraints caused by ultra-high network density in 3D space, the impact of neighboring node loads on the quality of service in a specific route, and ensuring communication network resilience against impacts leading to node and/or network fragment failure.
- Development of methods for network router placement in 3D ultra-high-density environments and biomass-saturated spaces that obstruct terahertz signal propagation, including conditions such as crowds at stadiums, on streets, etc.
- Development of a model network for research and training in 6G technologies and services. Establishment of a 6G network and services laboratory based on the model network, utilizing SPbSUT's expertise in creating model networks for research and training in telepresence services.
- Development of methods for transmitting holographic human copies in ultra-low latency network environments within 3D 6G communication networks, and defining Quality of Service (QoS) and Quality of Experience (QoE) requirements for such services.
- Development of methods for providing augmented reality services in ultra-low latency network environments within 3D 6G communication networks, and defining Quality of Service (QoS) and Quality of Experience (QoE) requirements for such services.
- Development of methods for providing services using avatar robots in ultra-low latency network environments within 3D 6G communication networks, and defining QoS and QoE requirements for such services.
- Development of methods for providing services using humanoid robots in ultra-low latency network environments within 3D 6G communication networks, and defining QoS and QoE requirements for such services.
- Development of methods for placing network routers on tethered unmanned aerial vehicles (UAVs) and ensuring routing via UAV swarms in 3D ultra-dense spaces and biomass-saturated environments that obstruct terahertz signal propagation, including crowded conditions at stadiums, streets, etc.
- Development of algorithms for forecasting traffic and other network characteristics based on machine and deep learning in 3D 6G networks to ensure rational distribution of network resources as a whole and/or its fragments under conditions of ultra-big data, ultra-low latency, ultra-high reliability requirements, and 6G communication network resilience.
- Development of service migration algorithms based on machine and deep learning for traffic balancing, non-discriminatory access to 6G communication network services for all users regardless of whether they are human or robot, and ensuring Quality of Service (QoS), Quality of Experience (QoE), and 6G communication network resilience.
- Research into network coding technology for 6G networks, including the impact of network coding methods on latency in 6G networks. Formulation of an approach and research into the specifics of applying artificial intelligence technologies in network coding. Research into error-correction coding methods for 6G networks, including their impact on latency. Development of adaptive error-correction coding methods based on AI systems for 6G networks.
- Research and development of requirements for the accuracy and speed of network positioning methods for mobile and stationary devices in 3D ultra-dense 6G networks. Research and development of models and methods for estimating the accuracy and speed of determining Time of Arrival (ToA) and Angle of Arrival (AoA) for mobile and stationary devices in 3D ultra-dense 6G networks. Research and development of models and methods for secondary processing of primary ToA and AoA measurements in stationary device equipment within 3D ultra-dense 6G networks.
- Development of new network protocols for 6G communication networks, taking into account the characteristics outlined in the previous points.
Planned project results:
- Scientific foundation, planning methodologies, recommendations, algorithms, and draft standards (including for international organizations) for the implementation of sixth-generation communication networks to ensure the effective construction of a digital economy by bridging the digital divide through the proactive implementation of ultra-high-density and ultra-low-latency network technologies during the transition to sixth-generation communication networks.
- Developed theory for constructing 3D ultra-dense networks and communication networks with ultra-low latency (round-trip delay less than 1ms) based on 6G technologies.
- A model network for research and training in three-dimensional ultra-dense networks and communication networks with ultra-low latency (round-trip delay under 1ms) based on 6G technologies as a next-generation model network.
- Developed architecture, characteristics, and requirements for Quality of Service (QoS) and Quality of Experience (QoE), traffic models, AI-based network and traffic performance forecasting, and resource optimization methods for 3D 6G communication networks.
- Developed network reliability and availability parameters for the transition to 3D 6G communication networks, requirements for these parameters, and requirements for network resilience parameters.
- Developed architecture for the national communication network, providing a new contribution to the fight against pandemics and other catastrophic events through wide user coverage with telepresence services.
- Developed network and error-correction coding methods for 6G communication networks, including those utilizing artificial intelligence technologies.
- Developed models, methods, and requirements for device positioning in three-dimensional ultra-dense 6G communication networks.
- Specifications for new network protocols.
- Intellectual property results for protocols, coding methods, and positioning methods.