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A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic

Abstract: 

Abstract—To satisfy the strict latency requirement of Ultra Reliable Low Latency Communications (URLLC) traffic, it is usually scheduled on resources occupied by enhanced Mobile Broadband (eMBB) transmissions at the expense of a highly degraded eMBB spectral efficiency (SE). In this paper, we propose a back propagation neural network (BPNN) based punctured scheduling scheme to address the URLLC placement problem on eMBB traffic within mini-slots. In the proposed scheme, we first design a three-layer BPNN to predict decoding probability of eMBB users with different puncturing situation,then scheduler will select the eMBB user with the least potential throughput loss to puncture. Simulation results demonstrate that the proposed scheme can efficiently reduce the loss of
throughput and improve the reliability of eMBB users.
Index Terms—URLLC, eMBB, back propagation neural network, puncture, throughput.

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2 users have voted: Qingqing Shang, Fengqi Bai

Paper Details

Authors:
Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao
Submitted On:
5 November 2019 - 3:55am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Qingqing Shang
Document Year:
2019
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Document Files

GlobalSIP-Shangqingqing-PPT.pptx

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[1] Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao, "A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4913. Accessed: Sep. 20, 2020.
@article{4913-19,
url = {http://sigport.org/4913},
author = {Qingqing Shang; Fangfang Liu; Chunyan Feng; Ruiyi Zhang and Shulun Zhao },
publisher = {IEEE SigPort},
title = {A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic},
year = {2019} }
TY - EJOUR
T1 - A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic
AU - Qingqing Shang; Fangfang Liu; Chunyan Feng; Ruiyi Zhang and Shulun Zhao
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4913
ER -
Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao. (2019). A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic. IEEE SigPort. http://sigport.org/4913
Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao, 2019. A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic. Available at: http://sigport.org/4913.
Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao. (2019). "A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic." Web.
1. Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang and Shulun Zhao. A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4913