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Author: Yalda Edalat

Smart adaptive collision avoidance for IEEE 802.11

  • Publication date October 1, 2021

Yalda Edalat, Katia Obraczka, Jong-Suk Ahn, “Smart adaptive collision avoidance for IEEE 802.11“, Ad Hoc Networks. Oct 2021, pp. 102721
link to pdf

Dynamically Tuning IEEE 802.11’s Contention Window Using Machine Learning

  • Publication date November 25, 2019

Yalda Edalat, Katia Obraczka, “Dynamically Tuning IEEE 802.11’s Contention Window Using Machine Learning“, Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Nov 2019
link to pdf

Exploring Computational Intelligence to Improve Network Performance

  • Publication date December 31, 2018

Yalda Edalat, “Exploring Computational Intelligence to Improve Network Performance “. 2019
link to pdf“

A machine learning approach for dynamic control of RTS/CTS in WLANs

  • Publication date November 5, 2018

Yalda Edalat, Katia Obraczka, Bahador Amiri, “A machine learning approach for dynamic control of RTS/CTS in WLANs“, Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Nov 2018
link to pdf

Network state estimation using smart experts

  • Publication date December 2, 2014

Yalda Edalat, Jong-Suk Ahn, Katia Obraczka, “Network state estimation using smart experts“, Dec 2014, pp. 11-19
link to pdf

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Katia Obraczka
obraczka@ucsc.edu

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i-NRG – Internetworking Research Group
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HOWTOs

Here is a list of how-to solutions for problems that we have encountered while doing research in the i-NRG Lab.

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