Direct-to-Device (D2D) satellite communications—where standard mobile devices connect directly with satellites—offer a promising solution to extend coverage and improve network resilience. This paper examines the spectrum allocation and regulatory challenges of enabling D2D satellite services in the European Union (EU), situating the analysis within the broader evolution of International Telecommunication Union (ITU) regulatory processes. While anchored in the preparations for the World Radiocommunication Conference 2027 (WRC-27), the study emphasizes that regulatory developments are dynamic and extend beyond a single conference cycle, ensuring long-term relevance for spectrum governance. The paper provides an overview of satellite communication fundamentals and defines key D2D concepts, including Internet of Things (IoT) use cases and differences between terrestrial mobile bands and Mobile-Satellite Service (MSS) bands. The analysis highlights the current EU landscape for MSS spectrum, particularly the 2 GHz S-band, and its upcoming licensing challenges. It contrasts the EU approach with international developments—notably the United States’ new “Supplemental Coverage from Space” framework and the United Kingdom’s satellite-to-mobile integration plans—to draw lessons for spectrum-sharing models. Technical and regulatory challenges for integrating D2D are identified, and potential alternative frequency bands and spectrum-sharing techniques are explored. A policy roadmap is proposed, outlining short-, medium-, and long-term actions for EU policymakers and stakeholders to enable D2D services. The study ultimately supports the formulation of a forward-looking regulatory framework that secures Europe’s role in shaping the future of hybrid satellite-terrestrial connectivity.

A tanulmány elméleti szempontból ismerteti az általános és különös hatósági eljárási szabályok viszonyát hazánkban, mégpedig egy szakigazgatási terület, a hírközlési igazgatás példáján keresztül. A tanulmány bemutatja az eltérések lehetőségeit, szükségességét, eljárásjogi alapjait, esetleges problémáit, továbbá az általános szabályozás alkalmazhatóságának főbb elméleti alapjait, kérdéseit. A tanulmány részletesen elemzi azokat a speciális eljárási szabályokat, jogintézményeket, amelyek a hírközlési igazgatás körében kiemelt jelentőséggel bírnak, azok okaival együtt. Bemutatja e szabályok és intézmények általános eljárási szabályokkal való kapcsolatát és részletesen elemzi az esetleges eltérések, kiegészítések, specialitások szabályozását, működését és indokoltságát.

Green fintech merges sustainable finance with data-intensive innovation, but national translations of EU rules can create regulatory risk. This study examines how such risk manifests in Central Europe and which policy tools mitigate it. We develop a three-dimension framework—regulatory clarity and scope, supervisory consistency, and innovation facilitation—and apply a comparative qualitative design to Hungary, Slovakia, Czechia, and Poland. Using a common EU baseline, we compile coded national snapshots from primary legal texts, supervisory documents, and recent scholarship. Results show material cross-country variation in labelling practice, soft-law use, and testing infrastructure: Hungary combines central-bank green programmes with an innovation hub/sandbox; Slovakia aligns with ESMA and runs hub/sandbox, though the green-fintech pipeline is nascent; Czechia applies a principles-based safe harbour and lacks a national sandbox; and Poland relies on a virtual sandbox and binding interpretations with limited soft law. These choices shape approval timelines, retail penetration, and cross-border portability of green-labelled products. We conclude with a policy toolkit: labelling convergence or explicit safe harbours, a cross-border sandbox federation, ESRS/ESAP-ready proportionate disclosures, consolidation of recurring interpretations into soft law, investment in suptech for green-claims analytics, and inclusion metrics in sandbox selection.

This paper explores the growing regulatory role of very large online platforms (VLOPs) through the lens of digital constitutionalism. It argues that while these platforms operate under private legal frameworks, their governance functions—especially content moderation and algorithmic decision-making—closely resemble public regulatory authority. As platforms increasingly shape the terms of civic participation, public discourse, and access to information, a normative gap has emerged between the private character of their power and its public consequences. The study identifies three core questions: what motivates platform self-regulation, whether platforms exercise public-like functions, and whether digital constitutionalism provides a viable framework for constraining their power. Drawing primarily on a comprehensive literature review, the analysis confirms that platform self-regulation is strategically motivated, that platforms exercise quasi-public authority, and that digital constitutionalism offers a promising—though still evolving—response. The findings suggest that constitutional values such as transparency, due process, and the protection of fundamental rights must increasingly be applied to powerful private actors in the digital environment to uphold rule-of-law standards and democratic legitimacy.

Radio spectrum is a limited national resource whose efficient utilization is of strategic importance. With the rapid advancement of wireless technologies, maintaining spectrum cleanliness and enabling fast and reliable anomaly detection have become critical challenges. Artificial intelligence (AI)-based approaches have recently shown great promise in addressing these issues; however, their effectiveness strongly depends on the availability of high-quality, representative, and annotated datasets. Generating such datasets is a complex task, further complicated by environmental conditions such as weather. Hungary’s nationwide spectrum monitoring network enables continuous observation of frequency bands, thereby providing the opportunity to construct large-scale and sustainable datasets. This study introduces a measurement methodology designed for the FM sound broadcasting in the VHF band (87.5–108 MHz), presents the resulting dataset, and details the annotation process. The published, openly accessible dataset is expected to serve not only as a valuable reference point but also as a benchmark for the international research community, facilitating the development, validation, and objective comparison of AI-driven spectrum monitoring solutions.