Environment-aware intelligent numerology control approach for 5G and beyond systems

Sazak H., YAZAR A.

International Journal of Communication Systems, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1002/dac.5768
  • Dergi Adı: International Journal of Communication Systems
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication & Mass Media Index, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: 5G and beyond, environment awareness, intelligent numerology control, machine learning, smart city, synthetic dataset
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

5G and beyond (5GB) systems show a flexible characteristic to meet different user communications requirements in parallel. Multi-numerology waveform design is an important part of this human centric characteristic, however, it is necessary to make multi-numerology planning. In this paper, the integrated sensing and communications (ISAC) concept is used with machine learning (ML) techniques to develop an intelligent numerology control mechanism for 5GB. Thanks to the ISAC capabilities, an environment-aware system is designed, and several useful sensing information (USI) that affect the wireless channel characteristic is utilized. It is assumed that the USI is obtained through 5GB smart city networks. At that point, synthetic data generation is performed to form a new dataset with USI-based features. Additionally, a novel feature control algorithm is proposed in the paper. Lastly, simulation results are presented for different type of ML models including several ensemble methods.