Ricerc@Sapienza

Since the mid 1990s some European countries (including Italy) implemented a Notional
Defined Contribution (NDC) pension system. Such a system is based on pay-as-you-go
funding, while the pension amount is a function of the individual lifelong contribution.
Despite many appealing features, the NDC system presents some drawbacks: first, it is
vulnerable to demographic and economic shocks compromising the financial sustainability;
second, it could fail to guarantee adequate pension benefits to pensioners. In order to reduce

We consider a multi-agent system consisting of several populations. The interaction between large populations of agents seeking to regulate their state on the basis of the distribution of the neighboring populations is studied. Examples of such interactions can typically be found in social networks and opinion dynamics, where heterogeneous agents or clusters are present and decisions are influenced by individual objectives as well as by global factors.

We focus on the problem of designing a 5G network architecture to provide coverage in rural areas. The proposed architecture is composed of 5G Base Stations carried by Unmanned Aerial Vehicles (UAVs), and supported by ground sites interconnected through optical fiber links. We also consider the dimensioning of each site in terms of the number of Solar Panels (SPs) and batteries.

Small Cells (SCs) installed on board of Unmanned Aerial Vehicles (UAVs) are a promising solution to provide wireless coverage to users escaping from an area affected by a disaster event. In this paper, we target the problem of maximizing the throughput over a set of areas in a disaster-affected territory. More in depth, we take into account: i) the limited capacity of the UAV-SC battery, ii) the maximum throughput that can be managed by each UAV-SC (due to backhauling/processing constraints), iii) the number of UAV-SCs that can simultaneously cover the same area.

Bringing the cellular connectivity in rural zones is a big challenge, due to the large installation costs that are incurred when a legacy cellular network based on fixed Base Stations (BSs) is deployed. To tackle this aspect, we consider an alternative architecture composed of UAV-based BSs to provide cellular coverage, ground sites to connect the UAVs with the rest of the network, Solar Panels (SPs) and batteries to recharge the UAVs and to power the ground sites, and a ring of optical fiber links to connect the installed sites.

We target the problem of providing 5G network connectivity in rural zones by means of Base Stations (BSs) carried by Unmanned Aerial Vehicles (UAVs). Our goal is to schedule the UAVs missions to: i) limit the amount of energy consumed by each UAV, ii) ensure the coverage of selected zones over the territory, ii) decide where and when each UAV has to be recharged in a ground site, iii) deal with the amount of energy provided by Solar Panels (SPs) and batteries installed in each ground site.

This paper considers a random structure on the lattice Z
2 of the following
kind. To each edge e a random variable Xe is assigned, together with a random sign
Y_e ∈ {−1, +1}. For an infinite self-avoiding path on Z
2
starting at the origin consider the
sequence of partial sums along the path. These are computed by summing the Xe’s for
the edges e crossed by the path, with a sign depending on the direction of the crossing.
If the edge is crossed rightward or upward the sign is given by Ye, otherwise by −Ye. We

This paper presents a decentralized Model Predictive Control (MPC) for Plug-in Electric Vehicles (PEVs) charging, in presence of both network and drivers' requirements. The open loop optimal control problem at the basis of MPC is modeled as a consesus with regularization optimization problem and solved by means of the decentralized Alternating Direction Method of Multipliers (ADMM).

The problem of minimizing the transfer time along a given Cartesian path for redundant robots can be approached in two steps, by separating the generation of a joint path associated to the Cartesian path from the exact minimization of motion time under kinematic/dynamic bounds along the obtained parameterized joint path. In this framework, multiple suboptimal solutions can be found, depending on how redundancy is locally resolved in the joint space within the first step.

The new concept of renewable energy communities introduced by the Revised European Directive on the promotion of renewable sources (2018/2001) has opened new possibilities for microgrids. In fact, it permits to enhance the value of the energy produced by renewable sources sharing it inside an 'energy community' and to increase the social welfare. In this article, the authors investigated about the actual legislation framework on energy communities at the European and Italian level, highlighting regulatory problems and barriers that are delaying their constitutions.