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Cognitive Radio-Oriented Wireless Networks

14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Adrian Kliks

    1. Poznan University of Technology, Poznan, Poland

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  2. Paweł Kryszkiewicz

    1. Faculty of Electronics and Communication, Poznań University of Technology, Poznan, Poland

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  3. Faouzi Bader

    1. Centrale Supelec, Cesson Sevigne Cedex, France

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  4. Dionysia Triantafyllopoulou

    1. University of Surrey, Guildford, UK

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  5. Carlos E. Caicedo

    1. Syracuse University, New York, USA

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  6. Aydin Sezgin

    1. Ruhr-University Bochum, Bochum, Germany

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  7. Nikos Dimitriou

    1. NCSR “Demokritos”, Athens, Greece

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  8. Michał Sybis

    1. Poznan University of Technology, Poznan, Poland

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Included in the following conference series:

Conference proceedings info: CrownCom 2019.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. PoMeS: Profit-Maximizing Sensor Selection for Crowd-Sensed Spectrum Discovery

      • Suzan Bayhan, Gürkan Gür, Anatolij Zubow
      Pages 3-16

    3. Tenant-Aware Slice Admission Control Using Neural Networks-Based Policy Agent

      • Pedro Batista, Shah Nawaz Khan, Peter Öhlén, Aldebaro Klautau
      Pages 17-30

    4. Machine Learning Based RATs Selection Supporting Multi-connectivity for Reliability (Invited Paper)

      • Haeyoung Lee, Seiamak Vahid, Klaus Moessner
      Pages 31-41

  3. Main Track

    1. Front Matter

      Pages 43-43
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    2. Novel Filter Bank Based Cooperative Spectrum Sensing Under RF Impairments and Channel Fading Beyond 5G Cognitive Radios

      • Sener Dikmese, Kishor Lamichhane, Markku Renfors
      Pages 45-58

    3. Performance Evaluation of Windowing Based Energy Detector in Multipath and Multi-signal Scenarios

      • Johanna Vartiainen, Heikki Karvonen, Marja Matinmikko-Blue, Luciano Mendes
      Pages 59-72

    4. Transmitter Classification with Supervised Deep Learning

      • Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial
      Pages 73-86

    5. Preferential Radar Method for Dynamic Assignment of Wi-Fi Channels

      • Jesús David Sandoval Posso, Carlos Andres Giraldo Castañeda
      Pages 87-99

    6. Tactical Radio Operator’s Combat Readiness as Context Information for Dynamic Spectrum Management Within Military Mobile Ad Hoc Network

      • Joanna Głowacka, Piotr Gajewski, Wojciech Bednarczyk, Michał Ciołek, Krzysztof Parobczak, Jarosław Wojtuń
      Pages 100-111

    7. Dynamic Placement Algorithm for Multiple Classes of Mobile Base Stations in Public Safety Networks

      • Chen Shen, Mira Yun, Amrinder Arora, Hyeong-Ah Choi
      Pages 112-125

    8. Spectrum Analysis Using Semantic Models for Context

      • Vaishali Nagpure, Stephanie Vaccaro, Cynthia Hood
      Pages 126-139

    9. Margin-Based Active Online Learning Techniques for Cooperative Spectrum Sharing in CR Networks

      • K. Praveen Kumar, Eva Lagunas, Shree Krishna Sharma, Satyanarayana Vuppala, Symeon Chatzinotas, Björn Ottersten
      Pages 140-153

    10. On the Feasibility of a Secondary Service Transmission over an Existent Satellite Infrastructure

      • Luciano Barros Cardoso da Silva, Tarik Benaddi, Laurent Franck
      Pages 154-167

    11. Interpolation-Based Interference Rejection Combining for Black-Space Cognitive Radio in Time-Varying Channels

      • Sudharsan Srinivasan, Sener Dikmese, Markku Renfors
      Pages 168-179

    12. Cooperative Delay-Constrained Cognitive Radio Networks: Throughput Maximization with Full-Duplex Capability Impact

      • Ali Gaber, El-Sayed Youssef, Mohamed R. M. Rizk, Mohamed Salman, Karim G. Seddik
      Pages 180-194

    13. Radio Environment Maps for Military Cognitive Networks: Density of Sensor Network vs. Map Quality

      • Marek Suchański, Paweł Kaniewski, Janusz Romanik, Edward Golan, Krzysztof Zubel
      Pages 195-207

    14. An Out-of-Sample Extension for Wireless Multipoint Channel Charting

      • Tushara Ponnada, Hanan Al-Tous, Olav Tirkkonen, Christoph Studer
      Pages 208-217

    15. Spectrum-Agile Cognitive Interference Avoidance Through Deep Reinforcement Learning

      • Mohamed A. Aref, Sudharman K. Jayaweera
      Pages 218-231
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Other volumes

  1. Cognitive Radio-Oriented Wireless Networks

Keywords

About this book

This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services.

Editors and Affiliations

  • Poznan University of Technology, Poznan, Poland

    Adrian Kliks, Michał Sybis

  • Faculty of Electronics and Communication, Poznań University of Technology, Poznan, Poland

    Paweł Kryszkiewicz

  • Centrale Supelec, Cesson Sevigne Cedex, France

    Faouzi Bader

  • University of Surrey, Guildford, UK

    Dionysia Triantafyllopoulou

  • Syracuse University, New York, USA

    Carlos E. Caicedo

  • Ruhr-University Bochum, Bochum, Germany

    Aydin Sezgin

  • NCSR “Demokritos”, Athens, Greece

    Nikos Dimitriou

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