Department of Electrical and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
email@example.com - firstname.lastname@example.org
Paper - Poster - Software
Q2. How do you obtain the training data for this to work?
A2. This is the essence of the problem: users who are within the coherence time send their prior measurements in sub-6 and mmWave. Then when time comes, the base station uses all this collected data to train the model. The model is invalidated when the UEs have moved.
Q3. Did this have to be sub-6 GHz and mmWave?
Can it be other frequencies?
A3. It sure can be any two frequencies you like. The idea is for the frequency ranges to be separate enough that their propgation models are different.
Q4. What is the speed at which UEs are moving?
A4. We did this for UEs at 5 km/h (close to stationary).
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Last Updated 02/13/19.