Ambient Aware User-Numerology Association for 5G and Beyond

Sazak H., YAZAR A.

31st IEEE Conference on Signal Processing and Communications Applications (SIU), İstanbul, Türkiye, 5 - 08 Temmuz 2023 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu59756.2023.10223774
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: 5G, 6G, multi-numerology, waveform, machine learning, ambient awareness, OPTIMIZATION
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.