Non-parametric statistical learning for URLLC transmission rate control

As an important service for 5G communications, ultra-reliable low-latency communications (URLLC) support emerging mission-critical applications, such as factory automation and autonomous driving. For such applications, the probability of failing to successfully transmit URLLC packets should be below...

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Bibliographic Details
Main Authors: Wenheng Zhang, Mahsa Derakhshani, Sangarapillai Lambotharan
Format: Default Conference proceeding
Published: 2021
Subjects:
statistical learning
non-parametric models
kernel density estimation
URLLC
channel uncertainty
Online Access:https://hdl.handle.net/2134/14096053.v1
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