Performance Analysis of Cellular Downlink with Fluctuating Two-Ray Channels under Inter-Cell Interference

Olyaee M., Eslami M., Haghighat J., Hamouda W.

IEEE Transactions on Vehicular Technology, vol.69, no.11, pp.13437-13449, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 69 Issue: 11
  • Publication Date: 2020
  • Doi Number: 10.1109/tvt.2020.3028183
  • Journal Name: IEEE Transactions on Vehicular Technology
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.13437-13449
  • Keywords: Interference, Fading channels, Cellular networks, Channel models, Wireless communication, Downlink, Base stations, Cellular network, fluctuating two-ray channel model, heterogeneous networks, interference, millimeter waves, stochastic geometry
  • TED University Affiliated: No


To alleviate the extremely high area spectral efficiency requirement challenge in next generations of cellular networks, dense heterogeneous type networks where base stations transmit with different power levels are been considered operating at new frequencies in millimeter-wave (mm-Wave) band. The high density of the aforementioned networks, unfold with small area cells that even with higher attenuation of mm-Wave signals encounter inter-cell interference. In this work, heterogeneous, and homogeneous downlink cellular networks operating in mm-Wave frequencies are considered, in which all wireless channels are modeled by fluctuating two-ray (FTR); a mm-Wave channel model recently proposed, and shown to fit well with experimental data. Analytical expressions for coverage probability, average rate, and bit error probability under inter-cell interference are obtained. Simulation results show the accuracy of the analytical derivations. Moreover, in some scenarios, FTR channel model exhibits a significant performance degradation over Nakagami, and Rayleigh fading channel models. Finally, one of the auxiliary fading parameters of FTR model, defined as power of line of sight components to that of diffuse component, has the most significant effect on the system performance.