Evaluation of 5G Cell Types through Channel Models


JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, vol.67, no.8, pp.984-1009, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 67 Issue: 8
  • Publication Date: 2022
  • Doi Number: 10.1134/s1064226922080034
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Communication Abstracts, Compendex, INSPEC
  • Page Numbers: pp.984-1009
  • Keywords: 5G, cell types, channel model, MILLIMETER-WAVE COMMUNICATIONS
  • Karadeniz Technical University Affiliated: Yes


5G technology provides much better capacity, speed, and bandwidth compared to its predecessor 4.5G, due to the high frequency it offers. Owing to these features, it is also in a structure to support the increasing global network traffic and the technological developments that will occur over the next few years. However, as with almost every technology, there are some problems with this technology. One of these problems is that the frequencies to be used in 5G also include millimeter-wave frequencies. These frequencies, which occur above about 30 GHz, are the frequencies that experience high attenuation. Due to this high attenuation, the signals emitted from the cell structures reach the User Equipment (UE) very attenuated. Although the extent of this attenuation varies for each cell type, this change can be approximated using propagation models. In this study, each cell type that is considered to be used in 5G is examined with the propagation models made for it, and both cell types and propagation models are compared according to the scenario environment created. The scenario environment was used to show the environment in which the different channel models we used in this study were created in a general manner and to increase the intelligibility of the study. It is hoped that this study will both improve existing channel models and contribute to the creation of new channel models. In comparison, distance-dependent path loss of each cell type and signal power values received in UE were used.