{"id":577,"date":"2022-12-01T19:20:04","date_gmt":"2022-12-01T18:20:04","guid":{"rendered":"https:\/\/people.unipi.it\/giacomo_bacci\/?page_id=577"},"modified":"2026-03-04T08:10:18","modified_gmt":"2026-03-04T07:10:18","slug":"projects","status":"publish","type":"page","link":"https:\/\/people.unipi.it\/giacomo_bacci\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"<h4><strong>Current projects<\/strong><\/h4>\n<ul>\n<li>\n<h5 class=\"left\">SMART \u2013 Sustainable Mobility via AI-enabled Reconfigurable THz communications<\/h5>\n<h6 class=\"left\">(funded by the Partenariat Hubert Curien Galil\u00e9e, February 2025 \u2013 January 2027)<\/h6>\n<p>The main goal of the SMART project is to adapt the learning-based methods available in the literature to the specific (sub-)THz propagation scenario in the presence of user mobility. Learning architectures applied in wireless are in fact typically just inherited from other fields (e.g., computer vision), and are blindly applied to the wireless scenario, which is becoming more and more challenging as the carrier frequencies increase (with the state of the art being represented by THz communications). When applied to large-scale networks, these adapted models result in poor scalability and poor generalizations, with large performance gaps compared to theoretically optimal optimization methods. To unlock learning-based techniques for wireless, it is essential to customize and account-by-design the unique properties (&#8220;rule-based&#8221;) of the networks they are applied to, for instance by empowering them with essential domain knowledge on the considered network (spherical wavefront, mutual coupling, goal of messages). This approach is essential to achieve the goals of this project that can be summarized in: scalability, generalization, reliability, trustworthiness. The key performance indicators that will drive the theoretical derivation of the algorithms will be mostly based on communication-oriented metrics, such as energy efficiency optimization and spectral efficiency maximization, rather than purely electromagnetic considerations: in other words, we are interested in the end-to-end performance achieved by the population of the THz-based network.<\/li>\n<li>\n<h5 class=\"left\">DM\/TM4PNT \u2013 investigation of directional modulation (DM) and time modulation (DM) techniques for PNT applications<\/h5>\n<h6 class=\"left\">(funded by European Space Agency, Mar. 2025 &#8211; Sep. 2026)<\/h6>\n<p>The project DM\/TM4PNT, led by MerMec Engineering S.r.l., aims to study innovative techniques to improve the reliability, safety, and performance of satellite-based positioning, navigation, and timing (PNT) services. In particular, it investigates physical-layer security techniques, including directional modulation (DM), time-modulated array (TMA), and frequency diverse array (FDA). The goal of the project is to design and validate, through simulation and real-world experiments, a spatially-selective antenna system technology and overall architecture which can: 1) on the receive path, serve the needs and requirements of modern, state-of-the-art PNT receivers while also effectively mitigating or, where possible, outright rejecting radio-frequency threats such as spoofing, meaconing and jamming or channel impairments such as multipath propagation; 2) on the transmit path, provide selective (depending on location and possible availability of encryption keys) access to real-world, state-of-the-art PNT services; 3) be used as an add-on to existing systems (PNT receivers) without requiring relevant modifications to their architecture and system design; 4) be capable of also implementing the classic functions of a phased-array antenna system such as directivity, selective nulling, and\/or other TM-based range- and angle-dependent functions to the extent being useful for PNT applications.<\/li>\n<li>\n<h5 class=\"left\">6G-MIRAI \u2013 Machine Intelligence based Radio Access Infrastructure (<a href=\"https:\/\/6g-mirai-harmony.eu\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/6g-mirai-harmony.eu\/<\/a>)<\/h5>\n<h6 class=\"left\">(funded by European Commission, Apr. 2025 &#8211; Mar. 2028)<\/h6>\n<p>The EU 6G-MIRAI consortium combines telecom equipment, device and chipset vendors, network operators, and system integrators on one side and leading academic institutions and universities in Europe on the other side. Furthermore, 6G-MIRAI collaborates with the Japanese HARMONY consortium to form a cross EU-Japan initiative, securing the needed know-how and experience input as well as maximizing the expected economic and technological impact. The framework for the economic and technological impact is a global single standard for 6G, enabling interoperability and compatibility, ease of use, and economies of scale. 6G-MIRAI aims at developing reliable and robust AI-native wireless communication systems that enable the practical exploitation of the full potential of the latest physical layer technological advances, especially cell-free massive MIMO, and of next-generation virtualized and potentially disaggregated radio access networks.<\/li>\n<li>\n<h5 class=\"left\">TeraWireless \u2013 Wireless Networks at Optical Speed with Deterministic Performance (<a href=\"https:\/\/www.terawireless.eu\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.terawireless.eu\/<\/a>)<\/h5>\n<h6 class=\"left\">(funded by European Commission, Mar. 2025 &#8211; Feb. 2029)<\/h6>\n<p>TeraWireless is the first EU training-through-research industrial doctoral network of doctoral candidates and senior supervisors fully committed to lay the theoretical, algorithmic, and architectural foundations for enabling THz systems at optical speed with deterministic performance. TeraWireless will provide multifaceted training of the research fellow  focused on these three main objectives: 1) Providing multidisciplinary training on THz networks at all levels (electromagnetics, antennas, propagation, algorithms, protocols), including ray tracing, link\/system-level simulation\/experimental platforms; 2) Providing inter-sectoral experience, with personalized training on both theoretical and applied research, as well as in standardization procedures, business creation, and intellectual property rights; 3) Providing training on transferable skills, including project management, entrepreneurship, aspects, exploitation and dissemination of results, organization of outreach events, forming collaborations. Open positions can be found <a href=\"https:\/\/www.terawireless.eu\/job-positions\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/li>\n<li>\n<h5 class=\"left\">EXCITE &#8211; EXtended Cubesat for Innovative Technology Experiments<\/h5>\n<h6 class=\"left\">(funded by Italian Space Agency (ASI), Feb. 2025 \u2013 Nov. 2026)<\/h6>\n<p>The primary objective of the EXCITE mission is to validate several innovative technologies for small satellites in orbit. EXCITE will serve as a testbed for technologies spanning various areas of interest for future satellite platforms: onboard propulsion (chemical\u2014monopropellant for orbital maneuvers, and pulsed plasma electric propulsion for fine and proximity control), management of intense heat flows within a limited volume using pulsating heat pipes, high-performance processing on a COTS platform for IoT and VDES signals, and compact microwave antennas with steerable beams. The mission is based on a custom 12U CubeSat platform: some high-performance critical subsystems (power generation, thermal control, structure, and deployable elements) will be entirely designed and produced by the EXCITE team. The mission is developed by a team led by the University of Pisa, with four Tuscan SMEs as industrial partners. The consortium is an excellent example of a regionally driven initiative leveraging CubeSat technology for local development.<\/li>\n<li>\n<h5 class=\"left\">POIANA &#8211; Piattaforma per Osservazioni In ambito Agricolo, Naturalistico e Ambientale<\/h5>\n<h6 class=\"left\">(funded by Ministero delle imprese e del made in Italy (MIMIT), Oct. 2023 \u2013 Sept. 2026)<\/h6>\n<p>The POIANA project aims at developing a system based on IoT (Internet of Things) technology for precision agriculture, using a set of sensors to obtain a detailed view of the environment. The project also introduces an innovation in the use of an aerial platform consisting of a tethered balloon, aiming to reduce costs and make current remote sensing technologies more sustainable. In particular, the POIANA project aims to develop and implement a technological demonstrator for a remote monitoring and control system for natural and\/or agro-environmental environments over a large area, designed for semi-permanent, multi-purpose, and reconfigurable use, based on distributed sensors.<\/li>\n<li>\n<h5 class=\"left\">CNCG &#8211; Centro Nazionale di Competenze GNSS<\/h5>\n<h6 class=\"left\">(funded by Italian Space Agency (ASI), July 2024 \u2013 June 2026)<\/h6>\n<p>The proposal aims to create a national GNSS competence center to address current and future challenges in satellite navigation. GNSS-based positioning, navigation, and timing (PNT) services are vital for sectors such as aviation, rail, and automotive, particularly in the shift toward autonomous systems. Led by Telespazio, the initiative will establish a distributed national GNSS laboratory with a central hub and several satellite units at leading academic and industrial partners, including INRiM, CIRA, Qascom, and CNIT, involving universities in Pisa, Turin, Padua, and Rome. The laboratory will consolidate scientific and technical expertise, offering tools for GNSS data processing, model-based systems engineering, and hardware\/software-in-the-loop testing. A collaborative cloud platform will support software development, integration, and deployment. Designed for scalability, the center will welcome future partners from academia and industry, fostering technological innovation and knowledge transfer in the GNSS domain.<\/li>\n<\/ul>\n<hr>\n<h4><strong>Past projects<\/strong><\/h4>\n<ul>\n<li>\n<h5 class=\"left\">TIMES \u2013 THz Industrial Mesh Networks in Smart Sensing and Propagation Environments (<a href=\"http:\/\/times6g.eu\/\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/times6g.eu\/<\/a>)<\/h5>\n<\/li>\n<li>\n<h5 class=\"left\">SPARKS &#8211; SuPporting restARt spoKe 3 reSearch<\/h5>\n<\/li>\n<li>\n<h5 class=\"left\">SMART &#8211; Smart Metasurfaces Advancing Radio Technology<\/h5>\n<\/li>\n<li>\n<h5 class=\"left\">SCORE &#8211; Smart Control Of the climate Resilience in European coastal cities (<a href=\"https:\/\/score-eu-project.eu\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/score-eu-project.eu<\/a>)<\/h5>\n<\/li>\n<li>\n<h5 class=\"left\">INTERCONNECT \u2013 INTEgRated COmmuNicatioNs, sEnsing and CompuTing<\/h5>\n<\/li>\n<li>\n<h5 class=\"left\">InsideRain &#8211; INStruments for Intelligent Detection and Estimation<br \/>\nof Rain for Agricultural INnovation (<a href=\"https:\/\/www.insiderain.it\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/www.insiderain.it<\/a>)<\/h5>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Current projects SMART \u2013 Sustainable Mobility via AI-enabled Reconfigurable THz communications (funded by the Partenariat Hubert Curien Galil\u00e9e, February 2025&hellip;<\/p>\n<p><a class=\"btn btn-dark btn-sm unipi-read-more-link\" href=\"https:\/\/people.unipi.it\/giacomo_bacci\/projects\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":641,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-577","page","type-page","status-publish","hentry"],"acf":[],"featured_image_src":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - 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