1. Radio Network Parameters (LTE, NR)
Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling Faris B. Mismar and Brian L. Evans
and
MOTIVATION I
MODEL & HANDOVER PROCEDURE
III
RSRP in NR is CSI-RSRP in TS
* SON: Self-Organizing Network
Algorithm: Partially Blind Handover Success Estimation
Partially Blind Handovers
5G New Radio (NR) promises very high data rates
mmWave has limited coverage radius relative to sub-6 GHz
A failed handover to NR lowers data rates & customer satisfaction
LTE measurement gaps:
LTE eNB configures it for a UE to measure another tech
Data transmission and reception seize during gaps
Predict the handover success instead of opening a gap
Obtain radio measurement and handover data Xi for UE i for all time T.
Generate the supervisory labels based on number of executed handovers.
Split the data
Train the XGBoost classifier and optimize hyperparameters
Obtain the area under the ROC curve using the test data
If area then:
Use the handover estimates to send B.
Else:
Use the baseline algorithm.
Repeat procedure for all UEs.
Goal
Execute a handover from LTE to NR only if likely to succeed.
Approach
Collect data from users (UEs) who performed measured handovers from LTE to NR over a certain period T
Use data to learn two-class classifier: will handover to NR be executed successfully (y = 1) or will it fail (y = 0)?
Optimize these steps
Proposed II IV
PARAMETERS
RESULTS
Radio Network
Single co-located macro cell with single antenna.
UEs are scattered per a Poisson point process.
Machine Learning
XGBoost Classifier:
Radio Network Parameters (LTE, NR)
Cell radius fc
Bandwidth
Tx Power
350 m
2.1, 28 GHz
20, 100 MHz
46 dBm
Geometry
Antenna pattern
Prop. model
Tx Ant. Height
Rx Ant. Height
Circular
Synth. Omni
COST231, [8]
20 m
1.5 m V
Machine Learning Hyperparameters
CONCLUSIONS
Inter-RAT Success Rates
Machine Learning Features
Improved inter-RAT handover success rate
Machine learning classifier was used:
It learned to predict the inter-RAT handover success for served UEs
It used both sub-6 GHz and mmWave prior measurements.
Reporting coordinates requires a modification to the standards body to enable UEs to report them over RRC.
They can be obtained by GNSS, GPS, OTDOA, etc.
Cross validation is required to perform a grid search in the hyperparameter space.
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May, 2018