Aleksander Bai

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This paper presents a class based dynamic admission control algorithm for the IEEE 802.11e Enhanced Distributed Channel Acccess (EDCA) standard. The strength of our admission control is the dynamic and flexibility of the algorithm, which adapts to the situation and thus achieves higher throughput than other admission controls for 802.11 EDCA. The(More)
This paper presents a unique approach for a model-based admission control algorithm for the IEEE 802.11e Enhanced Distributed Channel Access (EDCA) standard. The analytical model used as the foundation for the algorithm covers both non-saturation and saturation conditions. This allows us to keep the system out of saturation by monitoring several variables.(More)
This paper investigates rate configuration of the Expedited Forwarding (EF) class of Differentiated Services (DiffServ) when used with 802.11e EDCA. The rate configuration problem is presented, and several approaches are tested and evaluated in order to solve the problem. Results reveal that the contention window makes rate configuration very hard for the(More)
This paper focuses on how the IEEE 802.11e standard for Quality of Service (QoS) in Wireless Local Area networks (WLANs) can interoperate with the Differentiated Services (DiffServ) architecture for end-to-end IP QoS. It explores to which extent the 802.11e Enhanced Distributed Coordinated Access (EDCA) can meet the requirements from the DiffServ Per Hop(More)
We examined fourteen accessibility evaluation methods and put them into four categories based on the knowledge and resources required to perform them. We also classified the methods based on whether they evaluated technical or usable accessibility. Then, we selected four of these methods from different categories to evaluate accessibility of an e-ID(More)
Classifying tweets is an intrinsically hard task as tweets are short messages which makes traditional bags of words based approach inefficient. In fact, bags of words approaches ignores relationships between important terms that do not co-occur literally. In this paper we resort to word-word co-occurence information from a large corpus to expand the(More)