Competitive Advantages
- More Accuracy
- Less Complexity
- Reduced Number of Measurements
Summary
Traditional channel modeling to enhance the path loss models are becoming more complex and time consuming due to the deployment of new frequency bands and increased traffic data. Channel modeling can be viewed as data mining, with machine learning techniques being viewed as an alternative to analytical and deterministic approaches for predicting model. This new method of machine learning to predict the wireless path loss minimizes the complexity, increases the accuracy, and reduces the number of measurements from a computational standpoint. It has the potential to revolutionize the system design of 5G and beyond.
Method for Reducing the Number of Measurements of Wireless Channel Modeling
Desired Partnerships
- License
- Sponsored Research
- Co-Development