{"id":1938,"date":"2024-07-03T21:38:29","date_gmt":"2024-07-03T19:38:29","guid":{"rendered":"https:\/\/unica6g.it.uc3m.es\/?page_id=1938"},"modified":"2026-03-23T13:02:02","modified_gmt":"2026-03-23T12:02:02","slug":"entregables","status":"publish","type":"page","link":"https:\/\/unica6g.it.uc3m.es\/en\/6g-integration\/entregables\/","title":{"rendered":"6G-INTEGRATION | Entregables"},"content":{"rendered":"\n<\/colgroup>\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Short name<\/th>\nDeliverable<\/th>\nAbstract<\/th>\n<\/tr>\n
6G-INTEGRATION-02-E5<\/td>\nNTN+B5G integration Architectures \u2013 first release<\/a><\/td>\nThis document focuses on analyzing integration architectures between terrestrial and\nnon-terrestrial networks with specific focus on the framework of the implementation of\nnetwork slicing in automated end to end network architectures. The content is split in\nthree separate parts, the first being chapter 2 which provides general context information\naround the implementation of network slicing and this type of management architectures\nin terrestrial networks, addressing specific key aspects in terms of complexity, architectures and timeline, as well as standardization aspects both in terms of 3GPP definitions and those from other SDOs as IETF, relevant for the implementation of slicing management architectures in the transport domain, outside 3GPP scope, becoming a reference for adoption in the transport network.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E6<\/td>\nNTN+B5G integration architectures \u2013 second release<\/a><\/td>\nThis document constitutes the second deliverable 6G-INTEGRATION-02-E6 of the 6G-\nINTEGRATION-2 project, building on top of the work consolidated in the previous 6G-\nINTEGRATION-02-E5, which covered generally:\nGeneral mobile network technical and architectural definitions about network slicing, and foreseen evolutionary roadmap in the different mobile network domains that form the overall service E2E.\nRelevant standardization work and specifications about network slicing, with a focus on 3GPP and O-RAN for the radio access network (RAN), core network (CN) and E2E management and orchestration, IETF for the specific considerations related to the transport network domain (TrN), and other relevant organizations as GSMA related to the slicing ecosystem definitions (for example including key slicing topics as service template, device rules or roaming implementation).\nNTN use cases, typical architectures and system capabilities considering satellite solutions already commercialized or developing in the market, and the foreseen evolution of 3GPP standardization, which is shaping the new wave of future 5G NTN systems.\nRelevant functionalities needed in satellite systems to provide incremental flexibility and resources for slicing support, as well as primary needs in terms of integration into E2E service orchestration and management architectures asthose set as a reference in terrestrial networks to implement slicing.\nA first definition of a set of relevant integration architectures and their main characteristics, including key necessary interfaces, identified gaps and foreseen evolution.<\/span><\/td>\n<\/tr>\n
6G-INTEGRATION-02-E7<\/td>\nPrototype final version and NTN+B5G architecture evaluation<\/a><\/td>\nThis document constitutes the third deliverable 6G-INTEGRATION-02-E7 of the 6G-INTEGRATION-02 project, building on top of the work consolidated in the previous deliverables 6G-INTEGRATION-02-E5 and 6G-INTEGRATION-02-E6.\nIn this final document, the objective is to validate the planned PoCs presented in the\nprevious document in order to demonstrate some of the key concepts and gaps identified\nin the analysis that have been done for the integration of the NTN and TN networks.\nBased on the solutions described in 6G-INTEGRATION-02-E5 two use cases will be\nused for the concept validation: Case 1: NTN as 5G transport \u2013 internal MNO operation and Case 2: NTN as 5G transport \u2013 managed service<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E8<\/td>\nAnalysis for strategies for combined coverage by NTN + B5G version 1<\/a><\/td>\nThis deliverable E8 presents a comprehensive and advances analysis of the state of the\nart in the standardization of integrated terrestrial and non-terrestrial networks (TN\u2013NTN)\nwithin the 5G ecosystem and beyond. It reviews 3GPP releases, architectural frameworks,\nphysical layer challenges, and emerging research directions toward 6G. The focus is on\nachieving seamless global coverage through multi-layer network integration. This\ndocument constitutes the seed and starting point of the future final version of this\ndeliverable, D11 that expects to include the emerging research directions toward 6G.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E9<\/td>\nStrategies for federation of terrestrial and spatial edge segments version 1<\/a><\/td>\nThis deliverable E9 is the preliminary version of the studies on the edge solutions for integration of terrestrial and non terrestrial networks, TN and NTN respectively. This document introduces the state of the art in the alternatives and standardisation for the deployment of edge computing in this kind of integrated ecosystems, with special emphasis in the challenges in future 6G networks. The final version of this document will be the deliverable E10.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E10<\/td>\nStrategies for federation of terrestrial and spatial edge segments version final<\/a><\/td>\nThis deliverable E10 is the final version of the studies on the edge solutions for integration\nof terrestrial and non terrestrial networks, TN and NTN respectively. This document continues the work conducted in E9 and explore enabling technologies and algorithms for deployment edge computing within integrated TN and NTN.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E11<\/td>\nAnalysis for strategies for combined coverage by NTN + B5G Final Version<\/a><\/td>\nThis deliverable E11 presents a final version of comprehensive and advances analysis of the state of the art in the standardization of integrated terrestrial and non-terrestrial networks (TN\u2013NTN), focused in the 6G ecosystem. It reviews the latest 3GPP releases, architectural frameworks, physical layer challenges, and emerging research directions toward 6G.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E12<\/td>\nFederation analysis and proposal<\/a><\/td>\nThe federation of computing nodes represents an innovative strategy in the field of distributed computing, where autonomous systems converge to collaborate in the execution of complex tasks. This analysis explores in depth the purposes, strategies and requirements essential for the successful implementation of this federation.\nThe primary purpose of node federation is resource optimization, allowing independent computational entities to collaborate in a coordinated manner to execute operations that require combined capabilities. This strategy focuses on maximizing the efficiency, scalability, and agility of distributed systems.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E13<\/td>\nProposal for secure communication between federated elements with valid agreement and a secure registration mechanism for candidates in the federation<\/a><\/td>\nThis document gives a general idea of how to achieve a secure configuration between clusters, something crucial to guarantee the integrity, confidentiality and availability of the data and services you manage in a distributed environment.<\/td>\n<\/tr>\n
6G-INTEGRATION-02-E14<\/td>\nMonitoring proposal and definition of Key Performance Indicators (KPIs)<\/a><\/td>\nThe monitoring of federated nodes represents an innovative strategy in the field of distributed resource management, where various systems collaborate to optimize resource utilization and maximize operational efficiency. This document delves into the data models and definition of Key Performance Indicators (KPIs) necessary to implement effective and eco-friendly resource monitoring.<\/td>\n<\/tr>\n
6G-INTEGRATION-03-E5<\/td>\nInnovations for the NTN integration with 3GPP networks<\/a><\/td>\nThis document reviews the fundamentals of satellite communications and the latest advances in fault-tolerant onboard equipment, AI\/ML-based applications in STIN, and advancements and deployments in Non-Terrestrial Networks (NTNs). Additionally, the document delves into the 3GPP Release 17 standard in the context of NTN and analyzes the state of the art in hardware fault tolerance strategies in the space segment, as well as the applications of AI\/ML in optimizing the operation and performance of satellite communications and High-Altitude Pseudo-Satellites (HAPS). Finally, the document concludes with a brief summary\nof the contributions and the analyzed state of the art.<\/td>\n<\/tr>\n
6G-INTEGRATION-03-E6<\/td>\nEnhanced innovations for the NTN integration with 3GPP networks<\/a><\/td>\nThis document provides a summary of examples for enhanced innovations in the NTN integration with 3GPP networks. The main innovations overviewed have to do with the applicability of modern AI\/ML algorithms to help modeling, solving and optimizing different aspects of NTNs built with both terrestrial equipment and on-air and space equipment. Main challenges in these types of networks have to do with dealing with high latency, the errors due to radiation and transmission impairments, Doppler shifts, mobility management, handovers between terrestrial and non-terrestrial networks, channel reliability. Multi-access Edge Computing (MEC) can provide caching and computing resources on board to provide near real-time applications to minimise latency. Also intelligent algorithms based on Reinforcement Learning and other AI\/ML strategies can be used to optimise network performance from multiple sides: resource optimization, optimal routing, network slicing and mobility management. This document provides an overview of such strategies and algorithms toward a real integration of both terrestrial and non-terrestrial networks with current 5G deployments and emerging 6G networks.<\/td>\n<\/tr>\n
6G-INTEGRATION-03-E7<\/td>\nFinal innovations design for NTN integration with 3GPP networks<\/a><\/td>\nThis document presents key innovations for integrating High Altitude Platform Systems (HAPS) into non-terrestrial networks (NTN) aligned with 3GPP and 6G standards. It highlights the application of advanced AI and machine learning algorithms, such as reinforcement learning, to optimize resource allocation, routing, network slicing, and mobility management in highly dynamic NTN environments.<\/p>\n

The work introduces efficient frame transmission strategies for LEO satellites and HAPS, including\n\u201cwithhold scheduling,\u201d which balances data loads across ground stations to improve throughput and\nlatency. Deep reinforcement learning agents are developed for optimal routing, adapting to real-time\nchanges in network topology and congestion.<\/p>\n

A modular drone platform equipped with edge\ncomputing and 5G connectivity is designed and deployed to validate these innovations in real-world NTN scenarios. The document also analyzes the stringent bandwidth, latency, and reliability\nrequirements of emerging AR\/VR applications, informing the design of MEC-enabled HAPS nodes\nfor distributed caching and processing.<\/p>\n

A convergent NTN-6G architecture is proposed, integrating MEC at HAPS nodes to support seamless handovers and ultra-low latency. Conclusions emphasize the need for holistic co-design of algorithms, hardware, and standards, and identify future research directions in scalable AI, open interfaces, post-quantum security, and advanced materials for HAPS platforms.<\/p>\n

These contributions form a comprehensive roadmap for scalable, reliable, and high-performance NTN integration towards 6G.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

Nombre corto Entregable Descripci\u00f3n 6G-INTEGRATION-02-E5 Arquitecturas de integraci\u00f3n NTN+B5G – primera versi\u00f3n Este documento se centra en analizar las arquitecturas de integraci\u00f3n entre redes terrestres y no terrestres con un enfoque espec\u00edfico en el marco de la implementaci\u00f3n del particionamiento de red (network slicing) en arquitecturas de red automatizadas de extremo a extremo. El contenido…
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