Achievable Bandwidth Estimation for Stations in Multi-Rate IEEE 802.11 WLAN Cells

García, Eduard; Viamonte, D.; Vidal, Rafael; Paradells, Josep

doi:10.1109/wowmom.2007.4351788

Cited by 25 publications

(13 citation statements)

References 13 publications

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“…We have x ij ∈ [0, 1] in fractional association, and x ij ∈ {0, 1} in integral association. So the actual association of user evenly divides the access opportunity among its associated user in the long term [6], [5], which leads to roughly the same throughput for each user. We call it throughput share.…”

Section: A Network Modelmentioning

confidence: 99%

Integration Gain of Heterogeneous WiFi/WiMAX Networks

Wang

Liu

Vicente

et al. 2011

IEEE Trans. on Mobile Comput.

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We study the integrated WiFi/WiMAX networks where users are equipped with dual-radio interfaces that can connect to either a WiFi or a WiMAX network. Previous research on integrated heterogeneous networks (e.g., WiFi/cellular) usually consider one network as the main, and the other as the auxiliary.The performance of the integrated network is compared with the "main" network. The gain is apparently due to the additional resources from the auxiliary network. In this study, we are interested in integration gain that comes from the better utilization of the resource rather than the increase of the resource.The heterogeneity of the two networks is the fundamental reason for the integration gain. To quantify it, we design a generic framework that supports different performance objectives. We focus on the max-min throughput fairness in this work, and also briefly cover the proportional fairness metric.We first prove that it is NP-hard to achieve integral max-min throughput fairness, then propose a heuristic algorithm, which provides 2-approximation to the optimal fractional solution. Simulation results demonstrate significant integration gain from three sources, namely spatial multiplexing, multi-network diversity, and multi-user diversity. For the proportional fairness metric, we derive the formulation and propose a heuristic algorithm which shows satisfactory performance when compared with the optimal solution.

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Section: A Network Modelmentioning

confidence: 99%

Integration Gain of Heterogeneous WiFi/WiMAX Networks

Wang

Liu

Vicente

et al. 2011

IEEE Trans. on Mobile Comput.

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“…In our implementation, a linux-based AP running the HostAP driver [10] and a Prism 2 WLAN card, measures the portion of time spent in transmitting and receiving frames. As detailed in [11], this can be easily done thanks to the statistics provided by the driver. The maximum expected values for T f , obtained after a large number of measurements in different scenarios, are shown in Fig.…”

Section: Our Approach: Deferred Transmissionsmentioning

confidence: 99%

Detecting and mitigating the impact of wideband jammers in IEEE 802.11 WLANs

García-Villegas

Gómez

López-Aguilera

et al. 2010

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

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IEEE 802.11 Wireless LANs (WLANs) are highly sensitive to Denial of Service (DoS) attacks carried out with jamming devices. In this paper we focus on 2.4GHz wideband constant jammers. The interest in the wideband jammer lies in the fact that it beats all possible channels at the same time, leaving no possible escape following traditional channel-switching defenses. After studying and developing an effective detection mechanism, we propose the implementation of a load balancing technique based on cell breathing for mitigating the harmful effects of the jammer over an IEEE 802.11 WLAN. Cell breathing is achieved by dynamically tuning the transmission power to adjust the size of a WLAN cell.

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“…In [12] we proposed a new load metric based on a more precise definition of AAC. We expand the current definition of Available Admission Capacity to be the proportion of time a new station can take up if it is associated with the AP at a given physical rate.…”

Section: Load Information In New Ieee Standardsmentioning

confidence: 99%

“…Any AP can easily derive its AAC value by inspecting statistics that are usually provided by the wireless interface driver. For details on AAC derivation and implementation issues see [12].…”

Section: Load Information In New Ieee Standardsmentioning

confidence: 99%