A forcing collision resolution approach able to prioritize traffic in CSMA-based networks
Computer Communications
A reservation based backoff method for video streaming in 802.11 home networks
IEEE Journal on Selected Areas in Communications
Queuing Analysis of HCCA for Multi-Rate Wireless LANs with Truncated ARQ Protocol
Wireless Personal Communications: An International Journal
Assessment of the IEEE 802.11e EDCA protocol limitations when dealing with real-time communication
EURASIP Journal on Wireless Communications and Networking
A novel scheduler for VBR traffic in IEEE 802.11 HCCA WLANs
International Journal of Ad Hoc and Ubiquitous Computing
QoS in Wireless LAN: A comparison between feedback-based and earliest due-date approaches
Computer Communications
A Simple Analytical Model for Expected Frame Waiting Time Evaluation in IEEE 802.11e HCCA Mode
Wireless Personal Communications: An International Journal
Model predictive control over delay-based differentiated services control networks
Proceedings of the Conference on Design, Automation and Test in Europe
A dynamic channel reservation method for multimedia streaming in Wi-Fi Mesh networks
Automation and Remote Control
Performance-Driven Robust Video Multicast over broadband wireless access networks
Journal of High Speed Networks
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The IEEE 802.11e standard developed by IEEE 802.11TGe intends to provide the quality of service (QoS) support in IEEE 802.11-based wireless local area networks (WLANs) through the introduction of hybrid coordination function (HCF). The HCF controlled channel access (HCCA) designed as a part of HCF is the medium access mechanism for parameterized QoS and is suitable for multimedia applications requiring hard QoS guarantees. The standard also defines a reference scheduler to complement HCCA in meeting these guarantees. In this paper, we investigate the performance of the reference scheduler described in the standard by using a novel queueing analytic framework. The analysis reveals the performance deficiencies of the reference scheduler. Afterwards, to overcome these deficiencies, we propose a new scheduling scheme, namely, the prediction and optimization-based HCCA (PRO-HCCA), based on the insights gained from the queueing analysis. Simulation experiments show that the proposed scheme overcomes the problems of the reference scheduler and successfully enables the HCCA to fulfill the QoS guarantees for multimedia applications.