Filippo Vannella

• Researcher at Telefonica

Controlling antenna tilts in cellular networks is critical to achieve a good trade-off between network coverage and capacity. We devise algorithms learning optimal tilt control policies from existing data (passive learning setting) or from data actively generated by the algorithms (active learning setting). We formalize the design of such algorithm...

In this work, we present a novel framework for Best Arm Identification (BAI) under fairness constraints, a setting that we refer to as \textit{F-BAI} (fair BAI). Unlike traditional BAI, which solely focuses on identifying the optimal arm with minimal sample complexity, F-BAI also includes a set of fairness constraints. These constraints impose a lo...

Controlling antenna tilts in cellular networks is imperative to reach an efficient trade-off between network coverage and capacity. In this paper, we devise algorithms learning optimal tilt control policies from existing data (in the so-called passive learning setting) or from data actively generated by the algorithms (the active learning setting)....

We investigate the problem of Remote Electrical Tilt (RET) optimization using off-policy learning techniques devised for Contextual Bandits (CBs). The goal in RET optimization is to control the vertical tilt angle of antennas at base stations to optimize key performance indicators representing the Quality of Service (QoS) perceived by the users in...

6G will move mobile networks towards increasing levels of complexity. To deal with this complexity, optimization of network parameters is key to ensure high performance and timely adaptivity to dynamic network environments. The optimization of the antenna tilt provides a practical and cost-efficient method to improve coverage and capacity in the ne...

Within the business context, the study of the innovator’s personal traits is a fundamental analysis to be carried out in order to understand in a complete way howthe innovation process takes place and find out which traits are necessary to make ithappen. Based on the five-factor model, this work explores how personality traits arerelated to success...

Safe interaction with the environment is one of the most challenging aspects of Reinforcement Learning (RL) when applied to real-world problems. This is particularly important when unsafe actions have a high or irreversible negative impact on the environment. In the context of network management operations, Remote Electrical Tilt (RET) optimisation...

Remote Electrical Tilt (RET) optimization is an efficient method for adjusting the vertical tilt angle of Base Stations (BSs) antennas in order to optimize Key Performance Indicators (KPIs) of the network. Reinforcement Learning (RL) provides a powerful framework for RET optimization because of its self-learning capabilities and adaptivity to envir...

We address the problem of Remote Electrical Tilt (RET) optimization using off-policy Contextual Multi-Armed-Bandit (CMAB) techniques. The goal in RET optimization is to control the orientation of the vertical tilt angle of the antenna to optimize Key Performance Indicators (KPIs) representing the Quality of Service (QoS) perceived by the users in c...

We address the problem of Remote Electrical Tilt (RET) optimization using off-policy Contextual Multi-Armed-Bandit (CMAB) techniques. The goal in RET optimization is to control the orientation of the vertical tilt angle of the antenna to optimize Key Performance Indicators (KPIs) representing the Quality of Service (QoS) perceived by the users in c...

This paper describes the development of chatbots that can help learners make the most appropriate use of a large body of content. The purpose of a COntent-based Learning Assistant, COLA, is to suggest optimal educational paths, along with a persuasive and empathic coaching. COLAs are supported by a novel technology, iCHAT, based on the cognitive en...

this paper provides with an overview of the industry 4.0 scenario, introducing its theoretical basis and technologies involved in the fi�rst section with a particular focus on additive manufacturing (3D printing) and collaborative robotics (cobots); In the second part, with reference to these two technologies, a current Industry 4.0 case study will...

This work is aimed to provide the reader with an overview of the collaborative design approach by analyzing its strengths and weaknesses, highlighting recurrent behaviours of design actors and over-coming problems that arise from this design methodology