IEEE International Conference on Communications Workshop on Evolutional Tech. & Ecosystems for 5G Phase II, May 20-24, 2018, Kansas City, MO, USA.

Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling

Faris B. Mismar and Brian L. Evans

Department of Electrical and Computer Engineering, Wireless Networking and Communications Group, The University of Texas at Austin, Austin, TX 78712 USA
faris.mismar@utexas.edu - bevans@ece.utexas.edu

Paper - Poster - Software

Abstract

For a base station that supports cellular communications in sub-6 GHz LTE and millimeter (mmWave) bands, we propose a supervised machine learning algorithm to improve the success rate in the handover between the two radio frequencies using sub-6 GHz and mmWave prior channel measurements within a temporal window. The main contributions of our paper are:
  1. introduce partially blind handovers,
  2. employ machine learning to perform handover success predictions from sub-6 GHz to mmWave frequencies, and
  3. show that this machine learning based algorithm combined with partially blind handovers can improve the handover success rate in a realistic network setup of colocated cells.
Simulation results show improvement in handover sucess rates for our proposed algorithm compared to standard handover algorithms.

Questions & Answers

Q1. Why did you choose XGBoost?
A1. XGBoost is a parallelizable model which can be run on multiple base station distributed units at once.

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.