Withdraw
Loading…
Towards an efficient, fair, and QoS-aware 5G network infrastructure
Chen, Yongzhou
Loading…
Permalink
https://hdl.handle.net/2142/129395
Description
- Title
- Towards an efficient, fair, and QoS-aware 5G network infrastructure
- Author(s)
- Chen, Yongzhou
- Issue Date
- 2025-04-17
- Director of Research (if dissertation) or Advisor (if thesis)
- Mittal, Radhika
- Doctoral Committee Chair(s)
- Mittal, Radhika
- Committee Member(s)
- Godfrey, Philip Brighten
- Choudhury, Romit Roy
- Srikant, Rayadurgam
- Department of Study
- Electrical & Computer Eng
- Discipline
- Electrical & Computer Engr
- Degree Granting Institution
- University of Illinois Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Keyword(s)
- 5G networks
- cellular networks
- mobile networks
- edge computing
- resource allocation
- load balancer
- congestion control
- video streaming
- machine learning
- Abstract
- 5G networks promise to deliver high link capacity, ultra-low latency, massive connectivity, and high availability. Compared to 4G, 5G integrates multiple advanced technologies, including network slicing, small cell deployment, beam forming, and software-defined RAN, to enhance performance. The 5G infrastructure consists of the Radio Access Network(RAN) and the Core Network. In particular, 5G RAN is usually the bottleneck resource and determines the user’s link capacity in the last mile. However, existing RAN resource management approaches cannot be directly applied to 5G networks with these new technologies, and often results in suboptimal performance. In this dissertation, I present three systems that address the key challenges in modern 5G networks in terms of load balancing, resource allocation, and congestion control. In the introductory chapter, I will discuss the background in 5G network architecture and 5G applications. In the second chapter, I will present RadioWeaver, a load-balancing system in the multi-cell deployment with 5G slicing. RadioWeaver defines a novel load balancing criteria across slices to identify which cells are overloaded despite the fact that different slices optimize for different criteria. By co-designing load balancing with dynamic quota allocation, RadioWeaver improves the optimization objective of every slice. In the third chapter, I will present RadioSaber, a practical and efficient channel-aware 5G RAN slicing system. RadioSaber aims to schedule wireless resources in a channel-aware manner at both the inter-slice scheduler and the enterprise scheduler. Furthermore, it allows every slice to customize its scheduling policy to optimize its own objective. In the fourth chapter, I will present Octopus, a congestion control protocol for real-time applications, which achieves both high throughput and low latency. Octopus leverages in-network content adaptation to reduce the data rate of multimedia streams when the link capacity drops abruptly, so as to maintain low queuing delay.
- Graduation Semester
- 2025-05
- Type of Resource
- Thesis
- Handle URL
- https://hdl.handle.net/2142/129395
- Copyright and License Information
- Copyright 2025 Yongzhou Chen
Owning Collections
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisManage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…