390 research outputs found

    A simple method to infer Wi-Fi conflict graph

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    International audienceIn Wi-Fi networks, CSMA/CA ensures that access points (AP) in conflict with each others cannot transmit at the same time. An AP detects a conflicting AP when the received signal strength is greater than a certain threshold. This mechanism sets the medium spatial reuse that strongly impacts the throughput that may be offered by the Wi-Fi network and the users quality of experience. The knowledge of the different conflicts is thus crucial if we want to optimize the Wi-Fi network. In this paper we propose to take benefit of all local statistics information gathered by APs wireless interfaces to reconstruct the global conflict graph, i.e. the graph that represents AP in conflict with each others. Our methodology is based on APs statistic information available in profile counters. Consequently, our method does not rely on complex captures or synchronization. The proposed method is a work in progress for which we propose a proof of concept through a first set of simulations

    Experimenting with commodity 802.11 hardware: overview and future directions

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    The huge adoption of 802.11 technologies has triggered a vast amount of experimentally-driven research works. These works range from performance analysis to protocol enhancements, including the proposal of novel applications and services. Due to the affordability of the technology, this experimental research is typically based on commercial off-the-shelf (COTS) devices, and, given the rate at which 802.11 releases new standards (which are adopted into new, affordable devices), the field is likely to continue to produce results. In this paper, we review and categorise the most prevalent works carried out with 802.11 COTS devices over the past 15 years, to present a timely snapshot of the areas that have attracted the most attention so far, through a taxonomy that distinguishes between performance studies, enhancements, services, and methodology. In this way, we provide a quick overview of the results achieved by the research community that enables prospective authors to identify potential areas of new research, some of which are discussed after the presentation of the survey.This work has been partly supported by the European Community through the CROWD project (FP7-ICT-318115) and by the Madrid Regional Government through the TIGRE5-CM program (S2013/ICE-2919).Publicad

    Coordination and Interference in 802.11 Networks: Inference, Analysis and Mitigation

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    In the last decade, 802.11 wireless devices data-rates have increased by three orders of magnitude, while communications experiencing low throughput are still largely present. Such throughput loss is a fundamental problem of wireless networking that is difficult to diagnose and amend. My research addresses two key causes of throughput loss: MAC layer protocol overhead and destructive link interference. First, I design WiFi-Nano reducing the channel access overhead by an order of magnitude leveraging an innovative speculative technique to transmit preambles. This new concept is based on simultaneous preamble transmission and detection via a self-interference cancellation design, and paves the way to the realization of the collision detection paradigm in wireless networks. Next, I propose 802.11ec (Encoded Control), the first 802.11-based protocol that eliminates the overhead of control packets. Instead, 802.11ec coordinates node transmissions via a set of predefined pseudo-noise codewords, resulting in the dramatic increase of throughput and communication robustness. Finally, I design MIDAS, a model-driven network management tool that alleviates low throughput wireless links identifying key corrective actions. MIDAS' key contribution is to reveal the fundamental role of node transmission coordination in characterizing destructive interference. I implement WiFi-Nano, 802.11ec, and MIDAS using a combination of WARP FPGA-based radio boards, custom emulation platforms, and network simulators. The results obtained show that WiFi-Nano increases the network throughput by up to 100%, 802.11ec improves network access fairness by up to 90%, and MIDAS identifies corrective actions with a prediction error as low as 20%

    Linear Predistortion-less MIMO Transmitters

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