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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
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Adaptive Parameters Selection for Uplink Grant-Free URLLC Transmission in 5G Systems

Computer Networks. 2023. Vol. 222. Article 109527.
Shashin A., Belogaev A., Krasilov A., Khorov E.

Ultra-Reliable Low-Latency Communications (URLLC) is a key service of 5G systems that imposes very strict Quality of Service (QoS) requirements. Typically, URLLC applications require successful delivery of at least 99.999% of packets with a packet delivery time below 1 ms. To satisfy these requirements for uplink URLLC traffic, 5G specifications introduce a grant-free channel access method. It allows a base station (gNB) to select transmission parameters for each User Equipment (UE) in advance. The algorithm for transmission parameters selection shall take into account the following factors: (i) various UEs may have significantly different channel conditions that can change with time; (ii) if several UEs share common channel resources, their transmissions can interfere with each other; (iii) the gNB can use sophisticated decoding mechanisms, such as Successive Interference Cancellation (SIC), to mitigate the interference problem. In contrast to the existing studies that take into account only some of these factors, this paper proposes an algorithm that considers all three factors and adaptively selects the transmission parameters for each UE based on the desired signal and interference measurements available at the gNB. Numerical results obtained with NS-3 show that the developed algorithm significantly increases the network capacity for both periodic and sporadic URLLC traffic compared with the state-of-the-art algorithms.

Research target: Computer Science Engineering and Technology
Language: English
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Keywords: 5GMCS UplinkURLLCgrant-freeK-repetitionParameters selection
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