Programa de Doctorat en Teoria del Senyal i Comunicacions: Recent submissions
Now showing items 21-40 of 338
Clustering large dimensional data via second order statistics: applications in wireless communications
(English) In many modern signal processing applications, traditional machine learning and pattern recognition methods heavily rely on the having a sufficiently large amount of data samples to correctly estimate the underlying ...
Lifelong AI-driven zero-touch network slicing
(English) The sixth-generation (6G) network's evolution necessitates advancements in algorithms and architecture to transition from an AI-native to an intrinsic trustworthy automation-native system. Network slicing creates ...
Zero-touch service orchestration in 5G and beyond mobile networks
(English) The expeditious growth and development of Beyond-5G and 6G networks inaugurated a new sector in the research of cellular networking. Automation and scaling are now considered a necessity to cope with the anticipated ...
Optimized content caching strategies for multi-access edge computing (MEC)-assisted future cellular networks
(English) Handling the tsunami of multimedia content is a big challenge for heterogeneous cellular networks. Serving large volumes of content from the central system to end-users, through a bandwidth-limited network, at ...
Analysis of thin-film solidly mounted resonators for applications in harsh environments
(English) The sensing industry is constantly growing due to its demand in fields that require critical and essential information (data environment) for human safeness and quality of life. In recent years, designers, ...
Knowledge graph population from news streams
(English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge. Semantic ...
Quasi-perfect codes for the classical-quantum channel
(English) Quantum computers use the laws of quantum mechanics to do complex operations that classical computers can't solve. Quantum computers and other physical quantum systems require quantum information to be completely ...
Converged RAN/MEC slicing in beyond 5G (B5G) networks
(English) The main objective of this thesis is to propose solutions for implementing dynamic RAN slicing and Functional Split (FS) along with MEC placements in 5G/B5G. In particular, this thesis is divided into three parts. ...
Machine learning techniques for adaptive polynomial and neural network digital predistorters
(English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...
Machine learning algorithms for 5G optical networks
(English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation tradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. The proposed schemes ...
Data-driven information-theoretic tools under a second-order statistics perspective
(English) A great deal is known about second-order statistics. For many years, most of the signal processing problems have been addressed under the perspective of the first and second-order moments of the data, known to ...
Artificial intelligence, LiDAR and co-operative remote sensing for atmospheric observation and off-shore wind energy
(English) Remote sensing of the atmosphere is widely used by the wind energy industry to both assess future wind farms deployment sites as well as to improve their operation. With the rising interest in offshore wind energy, ...
Dynamic resource optimization and orchestration techniques for 5G new radio and beyond
(English) Earmarked as the revolutionary 5G key enabler, Network Slicing (NS) is the embodiment of the concept of running multiple logical networks as virtually independent business operations on a common physical ...
Remote sensing for atmospheric observation and wind energy: over-land boundary layer and off-shore atmospheric stability
(English) Monitoring the atmospheric boundary layer (ABL) is a matter of interest for many applications, such as weather forecasting, pollutant-dispersion models and wind energy. The ABL is the most turbulent part of the ...
Unsupervised and attention approaches for deep learning speaker recognition
(English) The thesis presents various contributions to the field of speaker recognition. In the first part of the thesis, the focus is on unsupervised methods for speaker recognition. This includes a method that uses Deep ...
Interferometric orbit determination for geosynchronous earth sensing missions
(English) Future Geosynchronous Synthetic Aperture Radar (GEOSAR) missions will provide permanent monitoring of continental areas of the planet with revisit times of less than 24 h. Several GEOSAR missions have been studied ...
Radio access network optimization with proactive resource management for 5G and beyond
(English) The Fifth-Generation (5G) of cellular networks significantly increases the performance and flexibility of the offered services to users and service providers. The strict network requirement of 5G use cases has ...
SFC placement and lifecycle management in edge-enabled 5G architectures
(English) The fifth generation (5G) of mobile communications urges software defined networking (SDN) and network function virtualization (NFV) to join forces with the multi-access edge computing (MEC) cause. Thus, reduced ...
Sea surface determination using GNSS reflected signals
(English) The Global Navigation Satellite Systems (GNSS) are large, stable and calibratecl sets of spaceborne L-band microwave transmitters with very well characterized properties. They provide global and permanent coverage ...
Graph convolutional neural networks for 3D data analysis
(English) Deep Learning allows the extraction of complex features directly from raw input data, eliminating the need for hand-crafted features from the classical Machine Learning pipeline. This new paradigm brought a boost ...
