IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU), İstanbul, Türkiye, 5 - 08 Temmuz 2023, cilt.1, ss.1-4
Various flexibility has been introduced in different subsystems used in 5th Generation (5G) communications. An important one of these flexibility is the multi-numerology structures for waveforms. Different communications requirements of users in the same coverage area affect user-numerology associations. In this study, the user-numerology association approach for 5G and beyond is developed in an ambient-aware manner and taking into account the inter-numerology interference. Machine learning techniques are used for the proposed approach. The results demonstrate the promising potential of the proposed approach.