
Resource Allocation in Network Slicing-Based Ultra-Reliable and Low-Latency Communications based on Model Predictive Control
Jun Liu(Author)
Fraunhofer ITWM(Editor)
Fraunhofer Verlag
Published on 27. February 2025
Book
Paperback/Softback
233 pages
978-3-8396-2075-5 (ISBN)
Description
Various 5G technologies and structures benefit both latency-sensitive and high-reliability-dependent users. As a use case that can enhance many safety-critical tasks, uRLLC requires extremely low latency and high system reliability. Such requirements raise difficulties in studying the system and UE behavior under extreme conditions.
To address the characteristics of uRLLC and meet its Quality of Service (QoS) requirements, a typical uRLLC-type network slice resource allocation problem is considered. Latency and reliability factors are comprehensively analyzed and reformulated in terms of data rate optimization. To enhance system robustness and performance under varying conditions, Model Predictive Control (MPC)-based solutions are employed. Additionally, various architectures and corresponding algorithms are proposed, emphasizing computational efficiency, compatibility, and scalability. A parameter study is also conducted to identify key optimizations and further improve overall system performance.
To address the characteristics of uRLLC and meet its Quality of Service (QoS) requirements, a typical uRLLC-type network slice resource allocation problem is considered. Latency and reliability factors are comprehensively analyzed and reformulated in terms of data rate optimization. To enhance system robustness and performance under varying conditions, Model Predictive Control (MPC)-based solutions are employed. Additionally, various architectures and corresponding algorithms are proposed, emphasizing computational efficiency, compatibility, and scalability. A parameter study is also conducted to identify key optimizations and further improve overall system performance.
More details
Thesis
Doctoral thesis
2024
TU, Kaiserslautern
Language
English
Place of publication
Stuttgart
Germany
Illustrations
num., mostly col. illus. and tab.
Dimensions
Height: 21 cm
Width: 14.8 cm
ISBN-13
978-3-8396-2075-5 (9783839620755)
Schweitzer Classification