eWINE Grand Challenge

The winners were announced!

  • First prize: 4000 €

    • Title: 5G Flexible Transceiver for Physical Layer Evaluation – 5GFlexPHY
    • Contact person: Luciano Leonel Mendes
    • Affiliation: Instituto Nacional de Telecomunicações – Inatel, Brazil
  • First runner-up: 2500 €

    • Title: Intelligent Network Control for the Internet of Things INTER-IOT
    • Contact person: Lefteris Mamatas
    • Affiliation: University of Macedonia, Greece
  • Second runner-up: 1500 €

    • Title: Enabling Agile Adaptation in Dense Heterogeneous Deployments of Commercial 802.11 Devices
    • Contact person: Efstratios Kerandis
    • Affiliation: GRIDNET S.A., Greece

ewinegc

What is the eWINE Grand Challenge?

The eWINE Grand Challenge addresses problems that deal with elastic connectivity. It targets the research community and highly trained industry professionals that want to optimize network solutions through autonomous control algorithms rather than manual configuration of devices. Competitors are requested to demonstrate PHY, MAC, routing or localization solutions that can scale to a high number of users in a short timespan through the use of an agile infrastructure (intelligent software and flexible hardware). Competitors are allowed to design their own intelligence solutions, but can also build on the top of accessing facilities and software tools developed in two H2020 projects: CREW and WiSHFUL.

Result declaration

  • The submission is closed, many thanks to all participants!
  • Selected proposals demo were presented on 12th June from 10am to 3pm during EuCNC 2017 at University of Oulu, Linnanmaa Campus in Finland
  • Prizes were awarded on Monday 12th, during the Workshop 1 at 16:45 in Room Saalastinsali .

Accepted proposals

We are glad to announce the 7 accepted proposals for the eWINE Grand Challenge. Congratulations! (Click on the titles to show the details)

5G Flexible Transceiver for Physical Layer Evaluation - 5GFlexPHY
  • Title: 5G Flexible Transceiver for Physical Layer Evaluation – 5GFlexPHY
  • Contact person: Luciano Leonel Mendes
  • Affiliation: Instituto Nacional de Telecomunicações – Inatel, Brazil
  • Summary: 5G is being widely researched nowadays. Several waveforms show features to be employed in 5G
    networks. However, performance analyses are based on theoretical or simulation results, with
    simplified channel model. Non-linearities, phase noise, interferences and other impairments present
    in a wireless channel are usually neglected. The eWINE flexible PHY component allows a first realtime
    study, however only for SISO transceivers. The aim of this proposal is to extend the eWINE
    infrastructure with MIMO capabilities to improve and evaluate the performance of the flexible PHY
    system under real channel conditions. The MIMO processing blocks will be developed for the XILINX
    Kintex 7 FPGA inside the USRP software-defined radio platform.

eWINE Repository

  • Dataset: GFDM flexible PHY – TUD
  • Testbed: N.A
  • Software component: N.A
Enabling Agile Adaptation in Dense Heterogeneous Deployments of Commercial 802.11 Devices
  • Title: Enabling Agile Adaptation in Dense Heterogeneous Deployments of Commercial 802.11 Devices
  • Contact person: Efstratios Kerandis
  • Affiliation: GRIDNET S.A., Greece
  • Summary: In this demonstration, we will present the AGILE system providing for rapid deployment on top of
    COTS 802.11 hardware to address elastic Wi-Fi connectivity issues. The key novelty of AGILE lies in
    the adoption of an efficient cross-layer approach, combining the detail of information available at
    low networking layers with the ability of implementing sophisticated algorithms at the application
    layer. We will showcase three individual scenarios highlighting the advantages of applying
    autonomous mechanisms to provide distributed spectrum adaptation, low-quality link mitigation and
    centrally controlled traffic load distribution. The experiments will be deployed in NITOS testbed
    featuring compatible 802.11ac hardware.

eWINE Repository

Intelligent Network Control for the Internet of Things INTER-IOT
  • Title: Intelligent Network Control for the Internet of Things INTER-IOT
  • Contact person: Lefteris Mamatas
  • Affiliation: University of Macedonia, Greece
  • Summary: The CORAL framework expands the Software-Defined Networks (SDNs) concept to the Internet of Things (IoT). This integration enables efficient end-to-end wireless communication based on dynamically optimized routing for heterogeneous mobility-aware networks. CORAL brings elastic network adaptations, such as SDN-based network discovery, topology maintenance and routing, over IoT devices to improve performance, reduce cost and resource utilization; a novel visualization platform based on Node-RED is used for illustration. Exploiting the WiSHFUL and eWINE infrastructures is double beneficial for our framework: CORAL is based on a real test-bed with innovative facilities, whilst it is enhanced with intelligence to support our controller decisions.

eWINE Repository

  • Dataset: Generalized drag and drop (in Node RED) – IMEC Feature extraction for link quality estimation – JSI
  • Testbed: WiSHFUL portable testbed
  • Software component: N.A
Network Access: Smart Detection And QoE-based selection - NASDAQ
  • Title: Network Access: Smart Detection And QoE-based selection – NASDAQ
  • Contact person: Maria-Gabriella Di Benedetto
  • Affiliation: Sapienza University of Rome, Italy
  • Summary: In the context of heterogeneous and coexisting networks, the introduction of context-aware and
    cognitive mechanisms may allow the final user to optimize 1) the detection of surrounding access
    networks, and 2) the selection of the best one, thus improving Quality of Experience (QoE). The
    present proposal investigates this approach, by introducing the use of 1) MAC layer parameters for
    the detection of surrounding networks, and 2) application layer QoE parameters, namely Key
    Performance Indicators (KPIs), for optimizing the access network selection, respectively. MAC
    parameters and KPIs will be defined for different traffic types, and then used to 1) detect and
    recognize the access networks in the user surrounding area, 2) rank them, and select the one with
    highest estimated QoE, for each considered traffic type.

eWINE Repository

  • Dataset: N.A
  • Testbed: N.A
  • Software component: N.A
Indoor Positioning by UWB Fingerprinting I-PUF
  • Title: Indoor Positioning by UWB Fingerprinting I-PUF
  • Contact person: Maria-Gabriella Di Benedetto
  • Affiliation: Sapienza University of Rome, Italy
  • Summary: This proposal explores the application of the fingerprinting approach to UWB positioning systems.
    The system will use location-dependent UWB signal propagation features collected in specific points
    of the area of interest, for obtaining an estimate of the position of the target node by comparing
    offline data with online readings, via pattern matching and machine learning techniques. Locationdependent
    features of the UWB Channel Impulse Response will be identified, that enhance
    positioning accuracy of traditional ToA/TDoA ranging-based schemes in harsh indoor scenarios,
    affected by non Line of Sight (NLoS) and imperfect time synchronization conditions between the
    anchor nodes and the target node.

eWINE Repository

  • Dataset: N.A
  • Testbed: N.A
  • Software component: UWB LOS vs nLOS dataset – IMEC
Design and Prototype of a Multi-Objective Environment Sensing Capability System for Shared Access With Rotating Radars
  • Title: Design and Prototype of a Multi-Objective Environment Sensing Capability System for Shared Access With Rotating Radars
  • Contact person: Zaheer Khan
  • Affiliation: University of Oulu, Finland and University of Liverpool, UK
  • Summary: Recent recommendations by regulatory bodies to use a distributed network of spectrum sensing/measurement devices, called environmental sensing capability (ESC) devices, which facilitates shared access (SA) between wireless communications and rotating radar systems has generated considerable research interest. We demonstrate a prototype of a multi-objective ESC system that facilitates a spectrum access system (SAS) to enable SA with ground-based fixed rotating radars. The implemented ESC device 1) detects radar signals; 2) measures interference from secondary users (Sus) for radar protection; and 3) also measures SUs’ airtime utilization (ATU) in a channel. The proposed ESC assisted SAS architecture can help in reducing the size of currently proposed large exclusion zones around the rotating radar systems. The prototype of the proposed ESC is implemented on Wireless Open Access Research Platform (WARP) nodes with Xilinx Field-programmable gate array (FPGAs).

eWINE Repository

  • Dataset: Iris-Software Defined Radio (SDR) software package
  • Testbed: ORBIT
  • Software component: N.A
Demonstration of a Database-assisted Shared Access System for Rotating Radars and Wireless Communications
  • Title: Demonstration of a Database-assisted Shared Access System for Rotating Radars and Wireless Communications
  • Contact person: Zaheer Khan
  • Affiliation: University of Oulu, Finland and University of Liverpool, UK
  • Summary: To provide more frequency spectrum for smart wireless devices and new things in the IoT, there is an increasing research interest in systems that facilitate spectrum sharing between radars and wireless communications. We will demonstrate real implementation of a database assisted shared access (SA) system for rotating radars and wireless communications. Our implemented SA system includes: 1) a real-time rotating radar emulator which has been designed to generate real scanning patterns of three different rotating radar systems; 2) a real-time MySQL database which assigns rules for SA-based spectrum access; and 3) A real-time FPGA-based prototype of wireless users using frequency spectrum on SA-basis. The prototype is implemented on WARP (a scalable and extensible programmable wireless platform) nodes .

eWINE Repository

  • Dataset: Iris-Software Defined Radio (SDR) software package
  • Testbed: ORBIT
  • Software component: N.A