A statistical mmWave channel modeling for backhaul networks in 5G communications
Document Type
Conference Proceeding
Publication Title
5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
School
School of Engineering
RAS ID
45046
Abstract
The skyrocketing mobile traffic demand drives the researchers to exploit the enormous spectrum in the millimeter wave (mmWave) bands (10 GHz to 300 GHZ) to facilitate high capacity backhaul channel (base stations to core network) for the next generation 5G networks. However, channel modeling is still challenging for backhaul networks due to high propagation loss, environmental attenuation, absorption loss, and sensitivity of blockage. This research will investigate a statistical mmWave channel modeling for backhaul networks in case of both line-ofsight (LOS) and non-LOS conditions at a particular mmWave band 28 GHz using by a novel simulator NYUSIM. We consider a urban macro cell scenario which operates a radio frequency bandwidth up to 800 MHz. Simulation was performed considering on some crucial parameters such as beam movements (arrival and departure), power delay profiles (omnidirectional, directional, small scale), and path losses. These investigations may be utilized to exhibit the potential of 28 GHz mmWave band and its worthy for the design of future 5G backhaul networks. © 2019 IEEE.
DOI
10.1109/IC4ME247184.2019.9036649
Access Rights
subscription content
Comments
Mowla, M. M., Dutty, H. B. H., & Ahmad, I. (2019, July). A statistical mmWave channel modeling for backhaul networks in 5G communications. In 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2). IEEE. https://doi.org/10.1109/IC4ME247184.2019.9036649