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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
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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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