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Network slicing is a central feature in 5G and beyond systems to allow operators to customize their networks for different applications and customers. With network slicing, different logical networks, i.e. network slices, with specific functional and performance requirements can be created over the same physical network. A key challenge associated with the exploitation of the network slicing feature is how to efficiently allocate underlying network resources, especially radio resources, to cope with the spatio-temporal traffic variability while ensuring that network slices can be provisioned and assured within the boundaries of Service Level Agreements / Service Level Specifications (SLAs/SLSs) with customers. In this field, the use of artificial intelligence, and, specifically, Machine Learning (ML) techniques, has arisen as a promising approach to cater for the complexity of resource allocation optimization among network slices. This paper tackles the description of a feasible implementation framework for deploying ML-assisted solutions for cross-slice radio resource optimization that builds upon the work conducted by 3GPP and O-RAN Alliance. On this basis, the paper also describes and evaluates an ML-assisted solution that uses a Multi-Agent Reinforcement Learning (MARL) approach based on the Deep Q-Network (DQN) technique and fits within the presented implementation framework. This work has been supported by the Spanish Research Council and FEDER funds under SONAR 5G grant (ref. TEC2017-82651-R) and by the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia under grant 2019FI_B1 00102.

Entregable del projecte de recerca ISITEP Communications security is a central aspect of the ISITEP framework for inter-system interoperability between TETRA and TETRAPOL networks. Ensuring that threats to the interconnected communications systems and terminals are sufficiently and appropriately reduced by technical, procedural and environmental countermeasures is vital to realise the trusted and secure communication system needed for the pursued PPDR transnational cooperation activities. In this context, ISITEP Work Package 2.2 (WP2.2) “Security Requirements” is aimed at establishing the set of security requirements needed to drive the development of the security architecture and its components. This first deliverable from WP2.2 provides a description of the preliminary framework and methodology defined to carry out the development of the security requirements. The framework includes aspects such as the identification of the ISITEP system components and players that are relevant for the security analysis, and the definition of security objectives. On this basis, the document also conducts a first assessment to delineate the state-of-the-art of the security features existing in current PPDR technologies and networks, security procedures carried out by PPDR end-users and operators in order to realise the trusted and secure communication system needed in national PPDR networks, and to provide an overview of the regulatory and legislation framework that impacts affects PPDR communication networks. Finally, a preliminary assessment of security threats to ISITEP system is also reported. The assessment is focused on those security threats that are relevant to the new communications capabilities brought by the ISITEP solution in terms of service interworking across multiple national networks and terminal roaming.

Deliverable D5.3 del projecte OneFIT

Deliverable D4.4 of PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659 This deliverable provides a report on the dissemination and networking activities including the results of the links and collaborati on activity with other entities and projects. As well, this report details all actions ta ken to promote the developments of the project to regulatory and standardisation bodies.

This paper describes the results from the FP7 HELP project, which investigated the potential of emerging wireless communication technologies and potential synergies between mobile public safety and commercial networks to enhance the communication capabilities of public safety users. The paper identifies the current trends and challenges for wireless communications in the public safety domain, the potential solution frameworks identified in the HELP project and an economic analysis to show the benefits in terms of cost saving. The paper also describes the related research activities of the European Commission in this area.

Deliverable D1.2 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

Deliverable D1.1 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

Deliverable D5.1 del projecte Europeu FARAMIR (248351) El document és Confidencial al projecte europeu FARAMIR, pel que no es pot publicar el seu contingut a E-prints.

Deliverable D1.3 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

Deliverable D2.2 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

Deliverable D2.2 del projecte Europeu OneFIT (ICT-2009-257385) This document presents the OneFIT functional and system architecture for the management and control of infrastructure coordinated opportunistic networks (ONs). The most relevant building blocks "Cognitive management System for the Coordination of the Infrastructure" (CSCI) and the "Cognitive Management system for the Opportunistic Network" (CMON) are described.

Milestone M3.2 del projecte Europeu OneFIT (ICT-2009-257385). Document Confidencial.

Deliverable D3.2 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

Deliverable D4.1 del projecte Europeu OneFIT (ICT-2009-257385) This deliverable contains a first version of the algorithmic solutions for enabling opportunistic networks. The presented algorithms cover the full range of identified management tasks: suitability, creation, QoS control, reconfiguration and forced terminations. Preliminary evaluations complement the proposed algorithms. Implementation considerations towards the practicality of the considered algorithms are also included.

This paper focuses on the use of Opportunistic Networks as a candidate solution for extending the coverage of cellular networks when providing high bit rate data services. It is based on establishing a device-to-device (D2D) radio link with another mobile that can provide the connectivity to the infrastructure. Specifically, the paper proposes a novel cognitive solution for the joint selection of node and spectrum to be used in the D2D radio link. It makes use of learning-based mechanisms for supporting the decision-making process taking into account the context information and the application requirements. Simulation results reveal that the performance of the proposed approach is very close to the optimum one. At the same time it is capable of adapting to changes in the scenario, such as the appearance/disappearance of candidate nodes as well as the variability in the interference conditions in the different bands.

Deliverable D4.5 of PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659 The deliverable covers the developed roadmap for the realisation of the envisioned solution framework within a potential proposal of a large scale phase II demonstration project. Along with the technological view, it also includes a related exploitation plan

Deliverable D4.3 del projecte OneFIT

Deliverable D3.1 of Project PROJECT HELP (ENHANCED COMMUNICATIONS IN EMERGENCIES BY CREATING AND EXPLOITING SYNERGIES IN COMPOSITE RADIO SYSTEMS), FP7-SEC-2010-1, PROJECT NUMBER 261659

In D6.1 deliverable project dissemination, exploitation and training plans, as well as standardization & regulatory approach strategy was presented. The D6.2 reported on the necessary updates of these strategies and the actions taken by the partners in line with them, as well as the obtained results. In this D6.3 deliverable, a full set of project dissemination activities, standardization & regulatory contributions as well as an operator’s “cook book” outlining steps necessary for full deployment of ON functionality and services, are presented. Deliverable D6.3 del projecte OneFIT

Milestone M4.2 del projecte Europeu OneFIT (ICT-2009-257385) El document és Confidencial al projecte europeu OneFIT, pel que no es pot publicar el seu contingut a E-prints.

Deliverable D3.1 del projecte Europeu OneFIT (ICT-2009-257385) The scope of OneFIT is on Opportunistic etworks and Cognitive Management Systems for Efficient Application Provision in the uture Internet. This document contains a proposal of Control Channels for Coordination of Cognitive Management Systems (C4MS) which enables delivery of guidance/assistance information from infrastructure towards the Opportunistic Networks and provides means for the management of Opportunistic Networks. This document defines first messages and elementary procedures for the C4MS as well as it identifies a preliminary set of information which is to be conveyed over C4MS. The document introduces also the inherent technical challenges related to the C4MS proposal.

El aumento de la inteligencia y la capacidad de cálculo de los equipos de usuario (UE) deja la puerta abierta a un nuevo paradigma, en el que los dispositivos personales toman un papel activo en su integración como parte de la RAN. El uso de estas UE como relés es la tendencia dominante, ayudando a otros usuarios al enlace en la estación base cuando experimentan condiciones de mala cobertura. En este contexto, el trabajo desarrollado en este proyecto pretende contribuir y discutir si el UE puede ser consciente de una situación adversa cercana, es decir, pérdida de conexión o handover, estudiando y aplicando técnicas de análisis de series temporales en secuencias reales medidas en células 5G. Los resultados indican que las grabaciones que siguen el mismo camino por lo general tienen suficientes semejanzas para relacionarlos, lo que significa que la historia de un UE anterior se puede utilizar para avanzar una situación que puede empeorar. L'augment de la intel·ligència i la capacitat de càlcul dels equips d'usuari (UE) deixa la porta obert a un nou paradigma, on els dispositius personals prenen un paper actiu en la seva integració com a part de la RAN. L'ús d'aquestes UE com a relés és la tendència dominant, ajudant a altres usuaris a l'enllaç a l'estació base quan experimenten condicions de mala cobertura. En aquest context, el treball desenvolupat en aquest projecte pretén contribuir i discutir si el UE pot ser conscient d'una situació adversa propera, és a dir, pèrdua de connexió o handover, estudiant i aplicant tècniques d'anàlisi de sèries temporals en seqüències reals mesurades en cèl·lules 5G. Els resultats indiquen que els enregistraments que segueixen el mateix camí en general tenen prou semblances per relacionar-los, el que significa que la història de un UE anterior es pot utilitzar per avançar una situació que pot empitjorar. The increased intelligence and computing capacity of user equipment (UE) leaves the door open to a new paradigm, where personal devices take an active role in being integrated as a part of the RAN. The use of these UEs as relays is the dominant trend, assisting other users in the link to the base station when they experience poor coverage conditions. In this context, the work developed in this project is intended to contribute to and discuss if the UE can be aware of an upcoming adverse situation i.e., loss of connection or handover, studying and applying time series analysis techniques in real sequences measured in 5G cells. The findings indicate that recordings following the same path generally have enough similarities to relate them, meaning that previous UE’s history can be used to notice in advance a worsening situation.

Analitzar l'efecte del desplegament d'una xarxa LTE sobre la xarxa TDT en zones urbanes i rurals. Projecte realitzat en col·laboració amb Abertis Telecom [ANGLÈS] Co-channel interference analysis of an implementation of an LTE network broadcasting on the DTT network of Abertis Telecom, mainly in the channels 60 and 59. [CASTELLÀ] Analizar las posibles interferencias cocanal de una implementacion de una red LTE sobre la red de radiodifusión de TDT de Abertis Telecom, principalmente en los canales 60 y 59. [CATALÀ] Analitzar les possibles interferències cocanal d'un desplegament d'una xarxa LTE sobre la xarxa de radiodifusió de TDT d'Abertis Telecom, principalment en els canals 60 i 59.