Notes on: Luo, S., Zhao, Y., Xiao, Y., Lin, R., & Yan, Y. (2021): A temporal-spatial spectrum prediction using the concept of homotopy theory for uav communications

@article{Luo_homo_21,
  author    = {Luo, Shan and Zhao, Yuwei and Xiao, Yong and Lin, Rongping
               and Yan, Yao},
  title     = {A Temporal-Spatial Spectrum Prediction Using the Concept of
               Homotopy Theory for Uav Communications},
  journal   = {IEEE Transactions on Vehicular Technology},
  volume    = {70},
  number    = {4},
  pages     = {3314-3324},
  year      = {2021},
  doi       = {10.1109/tvt.2021.3062462},
  url       = {https://doi.org/10.1109/tvt.2021.3062462},
  issn      = {1939-9359},
  month     = {Apr},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
}

Introduction

For instance, the ultra dense networks (UDNs) have been introduced to meet the requirements of explosive data traffic and new quality of service in the 5G communications. The UAVs are considered to be an important component of the UDNs to support the accessing density and variety. In the UDNs, the base stations (BSs) are closely distributed as 50~1000 BSs/km2, or with distances about 30~150 m. A drone with velocity 20 m/s can transfer from one BS to another in only 1.5 ~ 7.5 seconds. That is, although the UAV predicts the spectrum states, the prediction result can not be used because the UAV will fly to another location with a different spectrum environment in the next moment.