Sensitivity Analysis and Robust Design of Antenna Power Pattern Through Interval Arithmetic

A novel antenna propagation pattern tolerance prediction methodology

Nicola Anselmi

Antenna, errors, tolerance, phased arrays, interval analysis, interval arithmetic

In modern radar and communication antenna systems, very high performances are required. The research is focused to develop antenna tolerance tools able to efficiently predict the effect on the radiation performances, of manufacturing errors, inaccuracies, and tolerances affecting the antenna system components





Emerging Wireless Technologies for the Internet of Things

Pablo Corbalan Pelegrin

Wireless Sensor Networks, Wireless Communications, Ultra-wideband (UWB), Low-power and Lossy Networks, Embedded Systems, Localization

Traditionally, Wireless Sensor Network (WSN) research has been focused on low-power short-range radios, achieving high reliability and low latency on a tight energy budget. However, new emerging low-power radio technologies such as Ultra-Wideband (UWB), Bluetooth Low Energy (BLE), and Long-Range, are dramatically changing the application landscape of WSNs. In this context, my research is focused on designing novel networking protocols for this new set of radios, exploiting their new features and capabilities, and applying the outcome of the last 15 years of WSN research.





Tolerance Analysis of the Reflectarray Antenna Through Minkowski-based Interval Analysis

Sensitivity analysis of reflecarray antenna with mathematical approaches

Nasim Ebrahimiketilateh

Antenna, Reflecarray antennas, Tolerance Analysis, Sensitivity, errors, Interval Analysis, Interval Arithmetic

Having a robust architecture against tolerances is one of the most important aspects in high frequency antenna design. In this research, the effect of fabrication errors and feed location deviations on the power pattern of reflectarray antenna is investigated. The uncertainty on the actual size of the patch dimensions and the feed location are modeled with the interval values. The rules of Interval Arithmetic are then exploited to compute the bounds of the deviations.




Psychological Features for Cognitive Resource Management in Emergency Scenarios

Exploiting social engineering in a Decision support system f or emergency management

Paola Garofalo

Emergency management, decision support system, wireless communications, cognitive resource management.

Decision making is the fundamental process in command and control situation rooms operating in emergency management scenarios. The aim of the research project is to define strategies for the automatic evaluation (by the proposed decision support system) of the psychological traits and features of the personnel interacting within the emergency management scenario in order to define improved approaches for resource allocation. The objective is to infer and employ the social network information in order to reduce failures as well as conflicts in emergency situations.





Resource Abstraction and Virtualization Solutions for Wireless Networks

Anteneh Atumo Gebremariam

SDN, NFV, 5G Networks, MAC, Resource Scheduling, Interference Management

Anteneh A. Gebremariam is a PhD Candidate at university of Trento, Italy. His current research focuses on abstraction, virtualization, and efficient resource utilization of future wireless networks, 5G Networks and beyond, applying the concepts of network function virtualization (NFV) and software-defined networking (SDN) paradigms. In addition, he is currently working on E2E resource slicing techniques in order to provide the proper environment for supporting various bandwidth hungry services/applications (e.g., IoT, M2M communication, video, etc.) on top of a single physical wireless infrastructure. His previous working experience in an industry, gives him a great perspective in applying his current research to the real world applications. He also collaborated with CREATE-NET Research Group, Trento, Italy on EU project called 5G Infrastructure Public Private Partnership (5G PPP). In addition, during his studies he spent a period abroad as a Visiting Student Researcher and as an intern in Stanford University and in Nokia Siemens Networks (NSN) respectively.





New Paradigm in Reflectarray Design Through Non-Radiating Currents

Angelo Gelmini

Reflectarray Design, Conformal Antennas, Non-radiating Currents, Satellite, Radar and Communications

Reflectarray antennas represent one of the most appealing technologies for designing high-efficiency and reliable antennas for satellite applications (e.g., radar and communication). The proposed methodology will allow the designer to specify constraints/simplifications on the antenna surface current distribution thanks to an innovative exploitation of its non-radiating (NR) component, that becomes a powerful additional degree-of-freedom (DoF) in the synthesis process.




Distributed Monitoring for User Localization and Profiling in Smart Environments

Pervasive monitoring of human behavior for enabling smart environments

Enrico Giarola

Wireless Technologies, Wireless Sensor Network, Indoor Localization, Smart Home, Optimization Algorithm, Learning By Example techniques.

The research is focused on the design and the development of low-cost and non-invasive solutions for profiling users behavior and detecting their locations in smart environments. The output is exploited for minimizing energy consumption and maximizing comfort.





Innovative Design Methods for Uncoventional Antenna Arrays

Giorgio Gottardi

antenna arrays, design methodologies, irregular architectures clustered arrays, time-modulated arrays, sparse array, phased arrays

Nowadays, advanced radar and communications applications require high-performance antenna systems able to provide multiple functionalities, large bandwidth, high reconfigurability, jointly satisfying challenging geometric and HW/SW constraints. Conventional array architectures are not able to provide effective trade-off solutions satisfying the constraints and requirements imposed by modern applications. Differently, unconventional array technology, thanks to the irregular arrangement of the radiating element and/or of the TRMs in the beam forming network, is showing promising results. However, the design of unconventional antenna arrays requires methodologies able to deal with strongly nonlinear problems in an effective fashion, in order to enable the synthesis of large arrays as well. In this framework, my research is aimed at presenting innovative design methodologies for the efficient synthesis of unconventional array architectures.





Functional Decomposition in 5G Networks

Davit Harutyunyan

Cloud–RAN, Functional Split, Network Function Virtualization, Virtual Network Embedding

5G networks are expected to support various applications with their diverse requirements in terms of latency, data rates and traffic volume. Leveraging the fully–centralized Radio Access Network (Cloud–RAN) architecture over densely deployed small–cells, mobile network operators (MNOs) are expected to meet the ever–increasing coverage and capacity demands by employing Network Functions Virtualization techniques that allows for flexible resource pooling. However, high deployment cost of Cloud–RAN has so far prevented its widespread adoption. Moreover, it does not always fulfill the aforementioned requirements. My research work will investigate the trade–offs associated with different levels of centralization in the RAN with the ultimate goal of developing design guidelines to MNOs for deploying flexible and cost–efficient 5G networks.




Boosting reliability and energy efficiency of data collection and actuation over low-power lossy wireless networks

Timofei Istomin

wireless sensor networks, internet of things, cyber-physical systems

The research of the wireless sensor networks community has advanced far beyond its original target of monitoring applications. Now, in addition to mature protocol stacks, designed for large scale multi-hop wireless data collection over a network of battery-powered memory-constrained devices, an efficient support for bidirectional connectivity and individual addressability of low-power wireless nodes is emerging. This type of connectivity is required for sending actuation commands and other control messages in applications grouped under the modern concepts of the Internet of Things (IoT) and Cyber-Physical Systems (CPS). Besides two-way connectivity, IoT and CPS applications often require certain guarantees of reliability and timeliness as they are based on control loops. These requirements are in conflict with the need for a long battery lifetime and they apply to both the upward (sensor-to-controller) and downward (controller-to-actuator) data forwarding. The goal of our research is to develop a novel reliable and energy-efficient protocol stack supporting both data collection and actuation traffic in IoT and CPS applications.




Scalable Wireless Indoor Localization for Smart Spaces

Scalable, Opportunistic Location System designed for Indoor environments

Alessandro Polo

localization, positioning, tracking, location-based service, mobile devices, indoor, wireless

Wireless Active Localization Kit (WALK) is a Scalable, Opportunistic Location System designed for Indoor environments. Ubiquitous and pervasive computing envisions context-aware systems that gather real world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects. Several interesting location-aware applications are emerging in everyday life: Indoor asset tracking and monitoring of objects; People tracking inside a facility; Shopping assistance in malls; Museum guide systems; WaLK is based on state-of-the-art and edge-research algorithms published on journals such as IEEE Proceedings. Key Features of WALK: WaLK does not rely on custom hardware, it exploits available networks and devices, such as Wi-Fi 802.11 abg/ac/n, Bluetooth; WaLK follows the plug and play paradigm: just few information about the building and its wireless devices are required to get started; Position accuracy is estimated in real-time, it depends on the environment complexity and available hardware, up to few meters.





Innovative Imaging Techniques for Ground Penetrating Radar

Lorenza Tenuti

Exploitation of inverse scattering approaches for GPR survey.