ADCONET 2015: ADvances in COgnitive NETworks – Awareness, Adaptation, Intelligence and Learning in Communication Networks and Systems

Description:

Incorporation of learning/cognitive capabilities into networks is considered to be a major step towards efficient management of increasing complexity and heterogeneity. The term cognitive networks has a broad meaning and is used here to indicate networks able to sense their context of operation, analyze, reason and plan, make a decision, and act in accordance with the decision reached, while they learn from previous experience. Cognitive networks have the ability to think, learn, remember, and adapt to changing conditions in order to achieve end-to-end goals and objectives (e.g., optimization of the overall network behavior), thus being self-aware. In general,  cognitive networks may be formed as a collection of cognitive entities, which incorporate intelligent functionality, have reasoning capabilities, are characterized by autonomy, social ability, learning from experience, and adaptivity, while they interact with other components and act in a reactive/proactive way to accomplish their goals.

The current trends reveal major activity not just in the cognitive radio area, but in other relevant fields towards the integration of different techniques for the realization of completely self-aware and self-adaptive communication systems. This Special Session aims presenting the latest developments and state of the art solutions on the highly contemporary field of Cognitive Networking.

Topics of interest include (not limited to):

  • Self-adaptive/organizing/managing/aware networks
  • Autonomous networks
  • Cooperative networks
  • Cognitive radio
  • Spectrum management issues
  • QoS and QoE provision in cognitive networks
  • Energy efficiency in cognitive networks
  • Heterogeneous cognitive networks
  • MAC protocols for cognitive networks
  • Routing schemes for cognitive networks
  • Mobility management in cognitive networks
  • Resource allocation in cognitive networks
  • Sensing, reasoning, decision strategies, learning schemes and policies in cognitive networks
  • Estimation and prediction in cognitive networks
  • Interoperability with 4G networks Pricing in cognitive networks
  • Power management in cognitive networks
  • Cognitive femtocell networks

 

Special Session Chairs:

  • Malamati Louta (Assistant Professor at the University of Western Macedonia)
  • Panagiotis Sarigiannidis (Lecturer at the University of Western Macedonia)
  • Thomas Lagkas (Lecturer at the University of Sheffield International Faculty, CITY College)
  • Sudip Misra (Associate Professor at the Indian Institute of Technology)

 

Scientific Committee (to be confirmed):

  • Panagiotis Demestichas (University of Piraeus, Greece)
  • Joseph Mitola III (Mitola’s STATISfaction, USA)
  • Fabrizio Granelli (University of Trento, Italy)
  • Ali Imran (QU Wireless Innovations Center (QUWIC), Qatar)
  • Alexandros Kaloxylos (University of Peloponnese, Greece)
  • Athanasios Panagopoulos (National Technical University of Athens, Greece
  • Charalabos Skianis (Aegean University, Greece)
  • Fernando Jose Velez (Instituto de Telecomunicacoes/Universidade da Beira Interior, Portugal)

 

Important Dates (extended):

Paper submission: April 30, 2015

Author notification: May 20, 2015

Camera-ready paper submission: May 29, 2015

 

Contact Information:

Malamati Louta, University of Western Macedonia, School of Engineering, Department of Informatics and Telecommunications Engineering, louta@uowm.gr

Panagiotis Sarigiannidis,  University of Western Macedonia, School of Engineering, Department of Informatics and Telecommunications Engineering, psarigiannidis@uowm.gr

Thomas Lagkas, University of Sheffield International Faculty, CITY College, T.Lagkas@sheffield.ac.uk