Bayesian optimization of queuing-based multi-channel URLLC scheduling
This paper studies the allocation of shared resources between ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) in the emerging 5G and beyond cellular networks. In this paper, we design a unique queuing mechanism for the joint eMBB/URLLC system. The aim is to flex...
Saved in:
Main Authors: | Wenheng Zhang, Mahsa Derakhshani, Gan Zheng, Chung Shue Chen, Sangarapillai Lambotharan |
---|---|
Format: | Default Article |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/2134/21181084.v1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
by: Wenheng Zhang, et al.
Published: (2020) -
Constrained risk-sensitive deep reinforcement learning for eMBB-URLLC joint scheduling
by: Wenheng Zhang, et al.
Published: (2024) -
Dynamic scheduling for ultra reliable and low latency communications
by: Wenheng Zhang
Published: (2023) -
Bayesian optimization of blocklength for URLLC under channel distribution uncertainty
by: Wenheng Zhang, et al.
Published: (2022) -
Non-parametric statistical learning for URLLC transmission rate control
by: Wenheng Zhang, et al.
Published: (2021)