IRENE-EARTH (PID2020-115323RB-C33) Towards a sustainable and reliable 3D wireless Network
(GCOM-UC3M): explores the road to developing a three-dimensional (3D) network capable to
offer reliable, ubiquitous, and cost-efficient connectivity for beyond 5G (B5G)/6G
communications and contributing, at the same time, to the economic and environmental
sustainability of the future networks. IRENE pays special attention to the new emerging physical
layer technologies to enable a 3D network conception encompassing terrestrial and non-
terrestrial systems. The benefits of a new paradigm of joint communication-computing-and-
sensing will be investigated.

MADDIE (PID2022-137099NB) Enabling communication, coding and processing technologies for
next-generation classical-quantum networks (GTAS-UC, SPCOM-UPC, GTEC-UDC, MathπCom-
UNAV): the emerging 6G vision of seamless connectivity between the cyber and physical worlds
will shape next-generation networks and services. Intended applications are, e.g., self-driving
connected vehicles, health IoT-based services, and critical infrastructure surveillance, which
integrate communication and sensing functionalities. Besides, the project foresees that future networks will incorporate devices with quantum information processing capabilities. The project
addresses the design of coding and cryptographic algorithms for IoT-based applications in the
context of classical-quantum networks, it explores innovative wireless technologies for the
operation in the mmWave band and beyond, and it investigates distributed processing
techniques combined with recent advances in graph signal processing to make efficient use of
resources and increase performance.

INTERTWINE (PID2021-123999OB-I00) Integrated Non-terrestrial Wireless Networks (WiSeCom-
UPF): unmanned aerial vehicles (UAVs, a.k.a. drones), being an emerging technology leading to
remarkable economic growth and societal benefits, will be of paramount importance for search
and rescue, package delivery, advanced urban mobility, precision agriculture, remote sensing,
and relayed radio access to underserved areas. For these and other applications, UAVs will
transfer an unprecedented amount of real-time data to and from ground stations, requiring
ultrareliable, low-latency, high-capacity 3D wireless connectivity. The project aims at laying the
algorithmic foundations for next-generation 3D wireless networks, as they break the boundary of
the current ground-focused paradigm and fully embrace UAV support through an integrated
terrestrial and non-terrestrial network (iNTN).

TYCHE (PID2021-125159NB-I00) Uncertainty quantification for stochastic physical models: deep
filters and space-time Monte Carlo methods (GTSA-UC3M): Many phenomena in the physical
sciences are represented by dynamic models whose unknown states must be estimated from a
collection of related measurements. The project aims at performing estimation, tracking and
prediction in complex high-dimensional dynamic systems where uncertainty plays a crucial role.
It tackles this problem from two different angles: Bayesian signal processing and deep learning.
The methods and algorithms developed in this project will be put to the test in three selected,
relevant problems in geophysics (weather and climate modelling) and astrodynamics (space
debris and spacecraft tracking) that have a large, tangible socioeconomic impact.

MAYTE (PID2022-136512OB-C22) Multiple access and physical layer techniques for next
generation networks (GPSC-UVigo): the project aims to develop interference management
solutions that improve spectral efficiency, enable massive connectivity and facilitate the spectral
coexistence of the key technologies that will be part of next-generation networks. The first
objective focuses on aspects of signal design, identified as a critical factor in the development of
terrestrial, satellite, or hybrid networks. The second objective is related to several aspects of
interference management including efficient design of multi-antenna schemes at the receiver for
robust interference cancellation, the development and implementation of self-interference
management signal processing schemes under simultaneous transmission and reception, and
new tools for informational learning from data beyond second-order statistics.

POLIGRAPH (PID2022-136887NB-I00) Processing and learning data on graphs. From structure
inference to applications (DSSP-URJC): the project aims to expand knowledge about how we
process and learn from complex structured information, based on five fundamental premises:
graphs and their generalizations are effective tools for representing irregular data structures;
models that handle graphs with uncertainty and consider multiple interactions are essential in
complex configurations; current databases require consideration of nonlinear interactions
between variables; the complexity of modern systems demands a multidisciplinary approach that
combines statistics, optimization, signal processing, machine learning, and domain knowledge;
and application to real problems demonstrates practical impact and helps identify and improve
deficiencies in existing models.

PRECLARIS (PID2020-118139RB-I00) Practical and Efficient Communications Through Large and
Reconfigurable Intelligent Surfaces (CSPLab-UGR): Large intelligent surfaces (LIS; RIS:
reconfigurable intelligent surfaces) as a key technology for future 6G systems rely on the
possibility of controlling and modifying the propagation characteristics experienced by radio
frequency signals. The goal of this project is to address three fundamental aspects: (i) the lack of
realistic channel models for RIS/LIS-assisted communication systems (RIS-C/LIS-C) (ii) the
difficulty of implementing robust estimation and adaptive filtering techniques that work in real
time, in non-stationarity conditions and with limited number of samples, and (iii) the definition of
convincing use cases that exploit the full potential of RIS/LIS in realistic practical conditions.

NAUTILUS (PID2020-112502RB-C41) Collective and autonomous behaviors of AUVs (GAPS-UPM):
The so-called blue economy will play an essential role in our society. The project visualizes a
fascinating underwater world to be Conquered, Respected and Preserved. The project general
objectives are oriented to the design, construction, integration and validation of the concept of
swarms of autonomous underwater vehicles (AUVs) to develop coordinated activities.

RAMONET (PID2020-113785RB-I00) Radio-Access techniques for improving urban MObility in
beyond 5G NETworks (GAPS-UV): the project focuses on the search for advanced radio access
techniques to ensure high capacity and low latency communication in the presence of mobility in
areas with a high density of mobile nodes. The three basic lines of the project are: i) use of
optimized context-based information obtained from vehicle-to-vehicle communications (using
radio frequency, wireless optical communications or hybrid modes) and/or from vehicle-to-
infrastructure communications (radio frequency); ii) consideration of mobile nodes as repeaters
to improve capacity and coverage by incorporating advanced cooperative and multi-antenna
schemes; and iii) extension of capacity and coverage by transmission in millimeter-wave
frequency bands, considering the problems introduced by mobility in the aspects of channel
estimation and beam tracking.

MOMENTA (PID2021-123090NB-I00) Integration of statistical signal modeling and data-driven
learning with applications in brain-machine interfaces and nonlinear behavioral modeling (DTSC-
US): the project aims to combine the advantages of model-based learning techniques with those
of data-driven ones, to retain the best of both approaches, as well as to propose advances in
unsupervised learning methods for observations based on latent variables. We will apply these
techniques on practical problems of relevance, such as the improvement of EEG signal processing
techniques in brain-computer interfaces, emotion recognition in interactive virtual
environments, and the investigation of distributed learning approaches for nonlinear behavioral
models.

GGCAR-PoC (PID2020-118984GB-I00) Positioning for IoT based on 5G/6G, GNSS and low-power
LEO PNTs (SPCOMNAV-UAB): the objective of this project is to contribute to the design of
positioning solutions that are valid for an IoT environment. The requirements that can be found
in IoT are very varied depending on the application, but they have a transversal requirement is
that the calculation of the position should involve a reduced energy expenditure. To this end, this
project proposes the development of positioning solutions based on three complementary
technologies: signals from low Earth orbit (LEO) satellites, the innovations present in the latest
versions of 5G /6G, and the use of GNSS under the cloud signal processing paradigm.

OPTIMISE (PID2021-126514OB-I00) Sustainable optical technologies for millimeter wave and
visible light access communications in 6G networks (GTAC-UPV): the project aims to design and
implement an integrated optical fronthaul link for mmW/VLC signal transmission in 6G RAN
providing sustainable communications and identifying 6G use cases which will benefit from such
technology integration. Accordingly, it will design and implement the converged optical segment
based on fiber and free space optics for feeding mmW and VLC access links.

TATOOINE (PID2022-136269OB-I00) Task-oriented communications for intelligent 6G satellite
networks (TIC-UMA): the project goal is to understand the fundamental limits of Non-Terrestrial
Networks (NTN), as well as to develop tailored technical solutions for efficient and effective use
of wireless resources at the physical link, network and system level. To demonstrate the task-
oriented technologies developed, the project will focus on two illustrative satellite applications:
(1) Real-time remote tracking for vehicles, aircraft and vessels and (2) High-precision ground
observation, where LSatC makes and transmits images of an area of interest to make remote
inferences.

The ultimate goal of the COMONSENS network is to build upon the research outcomes of these
projects and the expertise of the participating research groups for further knowledge creation.
Additionally, it aims to enhance the visibility and impact of Spanish research.