6G-SENSES proposes the integration of novel 6G RAN technologies such as Cell-Free (CF) Massive Multiple-Input Multiple-Output (MIMO) and Joint Communication and Sensing (JCAS) to support the 6G vision that is sustained by the current (and future) architectural framework based on 3GPP and O-RAN. The project considers a multi-technology RAN ecosystem with technologies that are able to offer sensing functionalities. These technologies are Sub-6, Wi-Fi, millimeter wave and 5G NR, which will coexist in a JCAS framework whose goal is to retrieve as much information as possible from the surrounding environment to improve energy efficiency, reduce power consumption and favour communication at high data rates. Additionally, some of these technologies will be amenable to be integrated in the first implementation of a fully distributed CF-mMIMO scheme using mmWave and Sub-6 technologies. WIth the aim to enhance availability and coverage and to improve sensing performance, will leverage Reconfigurable Intelligent Surfaces (RISs) making use of the distributed nature of the access points and availability of multiple antennas. An optimization of distributed signal processing and resource allocation schemes tailored for RIS-assisted CF network architecture is proposed. This framework will make use of new PHY technologies to increase the cooperation among access points and their inherent capabilities to improve the precision/accuracy of the sensing capabilities. Sensing information stemming from these technologies will be pushed to the O-RAN framweork for optimization purposes using the Radio Intelligent Controllers (RICs). A total of three Proof-of-Concept demonstrations will be showcased, which encompass the proposed objectives of the project in a single infrastructure.
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Service-based architecture in the 5G core network, disaggregated RAN, and network slicing are a few of the 5G network's innovative paradigms. There are however new requirements for 6G, such as the efficient use of integrated cloud resources, end-to-end network programmability, and the dynamic integration of multiple connectivity domains to realize intelligent connectivity across increasingly pervasive cloud environments. The 6G-Cloud project will research, develop, and validate key technologies to realize an artificial intelligence (AI)-native and cloud-friendly system architecture atop the cloud continuum. It will integrate cloud resources offered by multiple stakeholders and allow network functions from different 6G network segments to be composed flexibly and dynamically based on service needs in hybrid cloud environments. 6G-Cloud will address the following key topics: i) designing a holistic, AI-native service-oriented 6G system architecture atop a cloud continuum; ii) developing AI-driven cloud continuum and management frameworks and business interfaces for a multistakeholder environment; iii) defining an AI/machine learning (ML) framework for native-AI support in the 6G system; iv) supporting the 6G "network-of-networks" concept using service-oriented network design. 6G-Cloud will incorporate scalability, sustainability, resilience, and security requirements into system design. The concept will be validated by three well-defined proofs-of-concept and promoted through 6G architectural standardization work and open-source projects to reach maximum impact.
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The MultiX project aims to revolutionize the 3GPP Radio Access Network (RAN) design and operation by developing a pioneering MultiX fusion Perceptive 6G-RAN system (MP6R) that will support an integrated multi-sensor, multi-static, multi-band, and multi-technology paradigm to enable multi-sensorial perception for future 6G sensing applications. The MP6R builds on top of three innovation pillars: i) MultiX Perception System (MPS) that introduces 3 levels of sensing functions into the RAN stack to support multi-sensor, multi-band, multi-static, and multi-technology Integrated Sensing and Communication (ISAC), following a streamlined functional split architecture to enable a fully flexible ISAC deployment in 6G-RAN and to facilitate vendors to extend their RAN stack to support sensing in a plug & play manner; ii) MP6R controller (MP6RC) that extends the RAN control plane functionalities to coordinate and control multi-technology integration (including 3GPP, non-3GPP, and other sensor technologies such as Radar, LiDAR, camera, etc.), while considering new connectivity approaches as well as mobility challenges for sensing and localization services; and iii) Data Access and Security Hub (DASH) designed as a novel RAN data plane entity that aggregates multi-sensor data of diverse technologies, providing secure data access, processing, storage, and exposure, ensuring data privacy and trustworthiness, and that can be fully distributed throughout the data plane wherever needed in the 6G-RAN. The proposed MP6R RAN design, and a set of other selected innovations, will be validated and demonstrated in two specific Proof-of-Concepts (PoCs) targeting TRL 4-5: PoC#1) Multi-layer Network Digital Twin for Industrial Manufacturing and PoC#2) Contact-free eHealth Monitoring at Home Environment. In addition, MultiX also aims to shape 6G standardization for achieving maximum sustainability and impact by contributing to relevant SDOs, including 3GPP, IEEE, ETSI ISAC.
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