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20162021
most citedWi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning

173 citations · 270 across the 13 of their papers we have counts for

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12 papers · 1 filter

cs.NI2021★ 173 cited

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning

Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz +4

Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in providing Internet access thanks to their freedom of deployment and configuration…

cs.NI2021

Wi-Lo: Emulating LoRa using COTS WiFi

Piotr Gawlowicz, Anatolij Zubow, Falko Dressler

We present Wi-Lo, which allows to convert an ordinary 802.11 (WiFi) access point into an internet of things (IoT) gateway supporting the low-power wide area network (LPWAN) technol…

cs.NI2021

Distributed Learning for Proportional-Fair Resource Allocation in Coexisting WiFi Networks

Piotr Gawłowicz, Jean Walrand, Adam Wolisz

In this paper, we revisit the widely known performance anomaly that results in severe network utility degradation in WiFi networks when nodes use diverse modulation and coding sche…

cs.NI2020★ 1 cited

Practical MIMO for Visible Light Communication

Piotr Gawłowicz, Elnaz Alizadeh Jarchlo, Anatolij Zubow

Visible Light Communication (VLC) is seen as a complementary wireless technology to Radio Frequency (RF). However, VLC is very sensitive to the signal blockage and suffers from sha…

cs.NI2020

WoV: WiFi-based VLC testbed

Piotr Gawłowicz, Elnaz Alizadeh Jarchlo, Anatolij Zubow

We present a complete Visible Light Communications (VLC) transceiver system consisting of low-cost Commercial-Off-The-Shelf (COTS) components. In particular, we show that COTS IEEE…

cs.NI2019★ 4 cited

OfdmFi: Enabling Cross-Technology Communication Between LTE-U/LAA and WiFi

Piotr Gawłowicz, Anatolij Zubow, Suzan Bayhan +1

Despite exhibiting very high theoretical data rates, in practice, the performance of LTE-U/LAA and WiFi networks is severely limited under cross-technology coexistence scenarios in…

cs.NI2019

Deep Learning for Cross-Technology Communication Design

Anatolij Zubow, Piotr Gawłowicz, Suzan Bayhan

Recently, it was shown that a communication system could be represented as a deep learning (DL) autoencoder. Inspired by this idea, we target the problem of OFDM-based wireless cro…

cs.NI2018★ 59 cited

ns3-gym: Extending OpenAI Gym for Networking Research

Piotr Gawłowicz, Anatolij Zubow

OpenAI Gym is a toolkit for reinforcement learning (RL) research. It includes a large number of well-known problems that expose a common interface allowing to directly compare the…

cs.NI2018★ 2 cited

XZero: On Practical Cross-Technology Interference-Nulling for LTE-U/WiFi Coexistence

Anatolij Zubow, Piotr Gawłowicz, Suzan Bayhan

LTE-U/WiFi coexistence can be significantly improved by placing so-called coexistence gaps in space through cross-technology interference-nulling (CTIN) from LTE-U BS towards WiFi…

cs.NI2017★ 13 cited

LtFi: Cross-technology Communication for RRM between LTE-U and IEEE 802.11

Piotr Gawłowicz, Anatolij Zubow, Adam Wolisz

Cross-technology communication (CTC) was proposed in recent literature as a way to exploit the opportunities of collaboration between heterogeneous wireless technologies. This pape…

cs.NI2016

UniFlex: Accelerating Networking Research and Experimentation through Software-Defined Wireless Networking

Piotr Gawłowicz, Anatolij Zubow, Mikolaj Chwalisz +1

Classical control and management plane for computer networks is addressing individual parameters of protocol layers within an individual wireless network device. We argue that this…

cs.NI2016★ 5 cited

NxWLAN: Neighborhood eXtensible WLAN

Piotr Gawłowicz, Sven Zehl, Anatolij Zubow +1

The increased usage of IEEE 802.11 Wireless LAN (WLAN) in residential environments by unexperienced users leads to dense, unplanned and chaotic residential WLAN deployments. Often…