Project description/goals    

Our goal is to construct a localized channel model, whose statistical distribution of angle power spectrum (ASP) is consistent with that of measured data from real environment.

Importance/impact, challenges/pain points    

The number of 5G antennas has increased significantly, which improves the resolution of multi-path channels. Thus, channel model needs to be extended from one-dimensional path loss to the high-dimensional ASP model.

Solution description    

By building the relationship of channel vector and RSRP, sparse techniques (e.g., OMP) could be used to extract the statistics of channel gain. Data-driven and model-driven methods are used.

Key contribution/commercial implication    

The localized statistical channel model could generate channel data for Simulated Reality of Communication Networks (SRCON) to predict spectrum efficiency. Then, the angles of antenna and power are tuned for network optimization.  

Next steps

(1) Further reduce the mean absolute error of  channel model for predicting ASP of grids.

(2) Design the multi-grid scheme for channel modeling to deal with sidelobe problem.

Collaborators/partners    

Xi Zheng, Pu Zhang (both are from Huawei)

Team/contributors    

Qingjiang Shi, Tsung-Hui Chang,     Shutao Zhang, Xinzhi Ning