Studio dei meccanismi molecolari coinvolti nel determinismo sintomatologico di piante infette da virus e virus-satelliti

The aim of our work was to study the molecular mechanisms involved in symptoms appearance of plants inoculated either with a virus or with a virus-satellite complex. In the first case, we tried to set up a reliable method for an early identification of PVYNTN strains present in Italy and causing potato tuber necrosis. This, to prevent their spread in the field and to avoid severe yield losses, especially in seed potato production. We tried to localize the particular genomic region responsible for tuber necrosis. To this purpose, we carried out RT-PCR experiments using various primer combinations, covering PVY genomic regions larger than those previously used by other authors. As the previous researchers, though, we were not able to differentiate all NTN from others PVY strains. This probably because of the frequent virus variability, due to both genomic mutations and possible recombination events among different strains. In the second case, we studied the influence of Y-sat (CaRNA5 satellite) on symptoms of CMV (Cucumber mosaic virus) in Nicotiana benthamiana plants: strong yellowing appearance instead of simple mosaic. Wang et al (2004), inoculating the same infectious complex on tobacco plants transformed with a viral suppressor of plant silencing (HC-PRO), did not experience the occurrence of yellowing anymore and, therefore, hypotesized that changes in symptoms were due to plant post transcriptional gene silencing (PTGS) mechanism. In our case, inoculation of N. benthamiana plants transformed with another PTGS viral suppressor (p19), and other plants defective for RNA polymerase 6 (involved in systemic silencing), still resulted in yellowing appearance. This, to our opinion, suggests that in our system another possible mechanism is involved.

NB-IoT via non terrestrial networks

Massive Internet of Things is expected to play a crucial role in Beyond 5G (B5G) wireless communication systems, offering seamless connectivity among heterogeneous devices without human intervention. However, the exponential proliferation of smart devices and IoT networks, relying solely on terrestrial networks, may not fully meet the demanding IoT requirements in terms of bandwidth and connectivity, especially in areas where terrestrial infrastructures are not economically viable. To unleash the full potential of 5G and B5G networks and enable seamless connectivity everywhere, the 3GPP envisions the integration of Non-Terrestrial Networks (NTNs) into the terrestrial ones starting from Release 17. However, this integration process requires modifications to the 5G standard to ensure reliable communications despite typical satellite channel impairments. In this framework, this thesis aims at proposing techniques at the Physical and Medium Access Control layers that require minimal adaptations in the current NB-IoT standard via NTN. Thus, firstly the satellite impairments are evaluated and, then, a detailed link budget analysis is provided. Following, analyses at the link and the system levels are conducted. In the former case, a novel algorithm leveraging time-frequency analysis is proposed to detect orthogonal preambles and estimate the signals’ arrival time. Besides, the effects of collisions on the detection probability and Bit Error Rate are investigated and Non-Orthogonal Multiple Access approaches are proposed in the random access and data phases. The system analysis evaluates the performance of random access in case of congestion. Various access parameters are tested in different satellite scenarios, and the performance is measured in terms of access probability and time required to complete the procedure. Finally, a heuristic algorithm is proposed to jointly design the access and data phases, determining the number of satellite passages, the Random Access Periodicity, and the number of uplink repetitions that maximize the system's spectral efficiency.

6G enabled IoV scenarios with distributed intelligence mechanisms

The Internet of Vehicles (IoV) paradigm has emerged in recent times, where with the support of technologies like the Internet of Things and V2X , Vehicular Users (VUs) can access different services through internet connectivity. With the support of 6G technology, the IoV paradigm will evolve further and converge into a fully connected and intelligent vehicular system. However, this brings new challenges over dynamic and resource-constrained vehicular systems, and advanced solutions are demanded. This dissertation analyzes the future 6G enabled IoV systems demands, corresponding challenges, and provides various solutions to address them. The vehicular services and application requests demands proper data processing solutions with the support of distributed computing environments such as Vehicular Edge Computing (VEC). While analyzing the performance of VEC systems it is important to take into account the limited resources, coverage, and vehicular mobility into account. Recently, Non terrestrial Networks (NTN) have gained huge popularity for boosting the coverage and capacity of terrestrial wireless networks. Integrating such NTN facilities into the terrestrial VEC system can address the above mentioned challenges. Additionally, such integrated Terrestrial and Non-terrestrial networks (T-NTN) can also be considered to provide advanced intelligent solutions with the support of the edge intelligence paradigm. In this dissertation, we proposed an edge computing-enabled joint T-NTN-based vehicular system architecture to serve VUs. Next, we analyze the terrestrial VEC systems performance for VUs data processing problems and propose solutions to improve the performance in terms of latency and energy costs. Next, we extend the scenario toward the joint T-NTN system and address the problem of distributed data processing through ML-based solutions. We also proposed advanced distributed learning frameworks with the support of a joint T-NTN framework with edge computing facilities. In the end, proper conclusive remarks and several future directions are provided for the proposed solutions.