Intersystem Coexistence and Cooperation Through Control Channels

  • Andreas Georgakopoulos
  • Dimitrios Karvounas
  • Vera Stavroulaki
  • Kostas Tsagkaris
  • Panagiotis Demestichas
Part of the Signals and Communication Technology book series (SCT)


The emerging wireless world is expected to be characterized from the demand for new, diversified applications/services, the expanded use of wireless and the need for increased efficiency in resource provisioning and utilization. Therefore, the resource usage in an opportunistic manner would provide a solution towards this direction. Opportunistic networks (ONs) and Cognitive Management Systems (CMSs) for cellular extensions are one of the emerging communication paradigms in wireless mobile communications. For the cooperation of CMSs, specific mechanisms need to be defined in order to increase the accuracy of obtained knowledge on the context of the operational environment. Also, a cooperation mechanism is required for efficient coordination between the infrastructure and the devices in the scope of an ON. Therefore, Control Channels (CCs) are required for the exchange of information and the coordination between CMSs. Consequently, this work focuses on the definition of the needed interfaces that are introduced in order to enable communication between the cognitive management systems and also to the related groups of information that is needed to be conveyed between these systems in order to ensure proper interaction. Finally, an indication of the amount of information conveyed through CCs is provided in order to be able to assess the impact to the network of control-related transmitted information.



This work was performed in the framework of the European-Union funded project OneFIT ( The project was supported by the European Community’s Seventh Framework Program (FP7). The views expressed in this document do not necessarily represent the views of the complete consortium. The Community is not liable for any use that may be made of the information contained herein. Also, this work is benefited from discussions in COST Action IC0902 “Cognitive Radio and Networking for Cooperative Coexistence of Heterogeneous Wireless Networks”.


  1. 1.
    ETSI TR 102 682 V1.1.1: Reconfigurable Radio Systems (RRS); Functional Architecture (FA) for the Management and Control of Reconfigurable Radio Systems (2009)Google Scholar
  2. 2.
    ETSI TR 102.683 V1.1.1: Reconfigurable Radio Systems (RRS); Cognitive Pilot Channel (CPC) (2009)Google Scholar
  3. 3.
    ETSI TR 102 684 V1.1.1: Reconfigurable Radio Systems (RRS); Feasibility Study on Control Channels for Cognitive Radio Systems (2012)Google Scholar
  4. 4.
    Stavroulaki, V., Tsagkaris, K., Demestichas, P., Gebert, J., Mueck, M., Schmidt, A., Ferrus, R., Sallent, O., Filo, M., Mouton, C., Rakotoharison, L.: Cognitive control channels: from concept to identification of implementation options. IEEE Commun. Mag. 50(7), 96–108 (2012)CrossRefGoogle Scholar
  5. 5.
    Pelusi, L., Passarella, A., Conti, M.: Opportunistic networking: data forwarding in disconnected mobile ad-hoc networks. IEEE Commun. Mag. 44(11), 134–141 (2006)Google Scholar
  6. 6.
    Lilien, L., Gupta, A., Yang, Z.: Opportunistic networks for emergency applications and their standard implementation framework. In: Proceedings of IEEE International Performance, Computing and Communications Conference (IPCCC 2007), Louisiana (2007)Google Scholar
  7. 7.
    Huang, C.-M., Lan, K.-C., Tsai, C.-Z.: A survey of opportunistic networks. In: Proceedings of International Conference on Advanced Information Networking and Applications-Workshops (AINAW 2008), Okinawa (2008)Google Scholar
  8. 8.
    Bouali, F., Sallent, O., Prez-Romero, J., Agusti, R.: Exploiting knowledge management for supporting spectrum selection in cognitive radio networks. In: Proceedings of 7th International Conference on Cognitive Radio Oriented Wireless Networks (CrownCom) 2012, Stockholm (2012)Google Scholar
  9. 9.
    Sarvanko, H., Mustonen, M., Matinmikko, M., Hoyhtya, M., Del Ser, J.: Spectrum band and RAT selection for infrastructure governed opportunistic networks. In: Proceedings of 17th International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD) 2012, Barcelona (2012)Google Scholar
  10. 10.
    Gebert, J., Fuchs, R.: Probabilities for opportunistic networking in different scenarios. In: Proceedings of 21st Future Network and Mobile Summit 2012, Berlin (2012)Google Scholar
  11. 11.
    Matinmikko, M., Mustonen, M., Rauma, T., Del Ser, J.: Decision-making system for obtaining spectrum availability information in opportunistic networks. In: Proceedings of 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogArt) 2011. Barcelona (2011)Google Scholar
  12. 12.
    Hui, P., Lindgren, A., Crowcroft, J.: Empirical evaluation of hybrid opportunistic networks. In: Proceedings of Communication Systems and Networks and Workshops, (COMSNETS 2009), Bangalore (2009)Google Scholar
  13. 13.
    Dousse, O., Thiran, P., Hasler, M.: Connectivity in ad-hoc and hybrid networks. In: Proceedings of IEEE International Conference on Computer Communications, (INFOCOM 2002), New York (2002)Google Scholar
  14. 14.
    Stavroulaki, V., Tsagkaris, K., Logothetis, M., Georgakopoulos, A., Demestichas, P., Gebert, J., Filo, M.: Opportunistic networks: an approach for exploiting cognitive radio networking technologies in the future internet. IEEE Veh. Technol. Mag. 7(2), 52–59 (2011)Google Scholar
  15. 15.
    FP7/ICT project OneFIT (Opportunistic networks and Cognitive Management Systems for Efficient Application Provision in the Future InterneT, ICT-2009-257385), Jul 2010–Dec 2012. Accessed April 2013
  16. 16.
    Gebert, J., Georgakopoulos, A., Karvounas, D., Stavroulaki, V., Demestichas P.: Management of opportunistic networks through cognitive functionalities. In: Proceedings of 9th International Conference on Wireless On-Demand Network Systems and Services (WONS), Courmayeur, pp. 113–118 (2012)Google Scholar
  17. 17.
    OneFIT project Deliverable 2.1: Scenarios, technical challenges and system requirements. Accessed Oct 2010
  18. 18.
    OneFIT project Deliverable 2.2.2/6.4: Functional and system architecture-version 2.0. Accessed Dec 2012
  19. 19.
    Mueck, M., Piipponen, A., Kalliojarvi, K., Dimitrakopoulos, G., Tsagkaris, K., Demestichas, P., Casadevall, F., Perez-Romero, J., Sallent, O., Baldini, G., Filin, S., Harada, H., Debbah, M., Haustein, T., Gebert, J., Deschamps, B., Bender, P., Street, M., Kandeepan, S., Lota, J.: Hayar. A: ETSI reconfigurable radio systems: status and future directions on software defined radio and cognitive radio standards. IEEE Commun. Mag. 48(9), 78–86 (2010)Google Scholar
  20. 20.
    Mitola III, J., Maguire Jr. G.-Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)Google Scholar
  21. 21.
    Georgakopoulos, A., Demestichas, P., Stavroulaki, V., Tsagkaris, K., Bantouna, A.: Mechanisms for information and knowledge sharing in wireless communication systems. In: Proceedings of International Symposium on Wireless Communication Systems (ISWCS), Paris, pp. 411–415 (2012)Google Scholar
  22. 22.
    Java Agent DEvelopment Platform (JADE).
  23. 23.
    Keranen, A., Ott, J., Teemu, K.: The ONE simulator for DTN protocol evaluation. In: Proceedings of 2nd International Conference on Simulation Tools and Techniques (SIMUTools 2009), Rome (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Andreas Georgakopoulos
    • 1
  • Dimitrios Karvounas
    • 1
  • Vera Stavroulaki
    • 1
  • Kostas Tsagkaris
    • 1
  • Panagiotis Demestichas
    • 1
  1. 1.University of PiraeusPiraeusGreece

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