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Implementation and evaluation of an age-aware Wi-Fi uplink
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thesis_AlperenBalcı.pdf
Date
2024-12-06
Author
Balcı, Alperen
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This thesis addresses the novel approach to enhance the efficiency and freshness of wireless communication networks by integrating the concept of Age of Information (AoI) within the existing Wi-Fi 802.11 standards framework. The Age of Information represents a dynamic measure of the timeliness and freshness of data. The proposed research methodology involves optimizing the system and improving overall network performance by integrating AoI metrics within the existing Wi-Fi 802.11 standards framework. In multi-user uplink Wi-Fi networks, a policy called MAB UCB-PI, which uses Upper Confidence Bounds (UCB) to solve the Multi-Armed Bandit (MAB) problem, has been developed to optimize scheduling policies and prioritize packet transmission. The validity of this approach has been evaluated through extensive simulations and real-world experiments using low-cost hardware such as Raspberry Pi-4 and ESP32 modules. The results demonstrate that MAB UCB-PI outperforms existing algorithms in reducing AoI, is robust under varying network conditions, and can adapt to different scenarios.
Subject Keywords
Age of information
,
Information freshness
,
802.11
,
Wi-Fi
,
Wireless networks
URI
https://hdl.handle.net/11511/112972
Collections
Graduate School of Natural and Applied Sciences, Thesis
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A. Balcı, “Implementation and evaluation of an age-aware Wi-Fi uplink,” M.S. - Master of Science, Middle East Technical University, 2024.