University of Twente Student Theses


Impact of user density increase on 802.11ax based Network Optimization

Vinne, Sietze van der (2022) Impact of user density increase on 802.11ax based Network Optimization.

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Abstract:The number of networked devices is increasing rapidly with numbers reaching 29.3 billion by 2023, up from 18.4 billion in 2018. This increasing user density requires new technologies to provide reliable connectivity. 5G and IEEE 802.11ax are among these technologies. Deployment of Artificial Intelligence (AI) in wireless networks has been proven useful in optimizing dense networks, however optimization frameworks proposed in literature lack analysis of user density variation over optimization time and performance improvements. In this paper, Contention Window (CW) optimization in 802.11ax networks has been analysed because it has been shown to improve network performance significantly. The analysis shows that throughput varies from 33.9 Mbits/s with 5 users in the network to 32.7 Mbit/s with 50 users in the network while delay and jitter variations remain within 45 and 14 milliseconds, respectively. The analysis reveals CW optimization can help improve performance in dense networks and this analysis can help network administrators to deploy cost-optimized networks.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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