Abstract
The main objective of this paper is to demonstrate the feasibility of the ontology and policy based approach to realize collaborative, automatic adaptation of cognitive radio parameters in the transmitter and receiver. The ontology and policy based approach features the following three aspects. First, all the internal and external information of the radio is represented in the Web Ontology Language (OWL). The transmitter and receiver share the same core ontology and thus can communicate with each other using this common language. Second, the policy rules are written in a declarative form and interpreted by a reasoner. Third, in order to exchange the OWL represented information between the radios, we adopt a more flexible signaling plan, which is different than the conventional protocol-predefined signaling plan, i.e. the control messages are added to an extendable payload, rather than embedded in the predefined protocol-dependent header or trailer. The paper discusses the implementation and shows some examples of radio behaviors resulting from the execution of the policies.
Similar content being viewed by others
References
Choi, M. J., Hong, W., & Ju, H. T. (2003). XML-based network management for IP networks. ETRI Journal, 25, 445–463.
Cummings, M., Li, S., & Kokar, M. M. (2008). Activities of SDR forum MLM working group on a language for advanced communication systems applications. In SDR Forum Technical Conference, 2008.
Denker, G., Elenius, D., & Wilkins, D. (2009). Cognitive radio technology. In B. A. Fette (Ed.), Cognitive radio policy language and policy engine (Chapter 17 ). Burlington: Elsevier.
Endsley, M., & Garland, D. (2000). Situation awareness, analysis and measurement. Mahway, NJ: Lawrence Erlbaum Associates, Publishers.
Kokar, M. M., & Lechowicz, L. (2009). Language issues for cognitive radio. Proceedings of the IEEE, 97(4), 689–707.
Kokar, M. M., Baclawski, K., & Eracar, Y. A. (1999). Control theory-based foundations of self-controlling software. IEEE Intell Syst, 14, 37–45.
Kokar, M. M., Baclawski, K., & Eracar, Y. (1999). Control theory-based foundations of self-controlling software. IEEE Intell Syst, 14, 37–45.
Kokar, M. M., Hillman, D., & Li, S. (2008). Towards a unified policy language for future communication networks: A process. Chicago, IL: DySPAN Conference.
Kokar, M. M., Brady, D., & Baclawski, K. (2009). Cognitive radio technology. In B. A. Fette (Ed.), The role of ontologies in cognitive radios (Chapter 13). Burlington: Elsevier.
Li, S., Kokar, M. M., & Brady, D. Developing an ontology for the cognitive radio: Issues and decisions. In SDR Forum Technical Conference, 2009.
Li, S., Kokar, M. M., & Moskal, J. (2008). Policy-driven ontology-based radio: A public safety use case. SDR Forum Technical Conference, 2008.
Masolo, C., Borgo, S., & Gangemi, A. (2003). DOLCE: A descriptive ontology for linguistic and cognitive engineering.. Rome: Technical report, Institute of Cognitive Science and Technology, Italian National Research Council.
Mitola, J, III. (2000). Cognitive radio: An integrated agent architecture for software defined radio. Doctoral Dissertation, KTH Stockholm, Sweden.
Mitola, J., III., & Maguire, G. Q., Jr. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Commun, 6, 13.
Moskal, J., Kokar, M. M., & Li, S. (2010) Interfacing a reasoner with an sdr using a thin, generic API: A GNU radio example. SDR Forum Technical Conference, 2010.
Shin, D., & Shim, C. (2005). XNMP––an XML based network management protocol over VoIP. In Proceedings of the 6th International Conference on Software Engineering, Artificial Intelligence, Networking and Paralled/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks, Virginia Tech.
Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge engineering: Principles and methods. Data and Knowledge Engineering, 25, 161–197.
Wang, J., Kokar, M. M., Baclawski, K., & Brady, D. (2004) Achieving self-awareness of SDR nodes through ontology-based reasoning and reflection. In Software Defined Radio Technical Conference, 2004.
Wireless Innovation Forum Cognitive Radio Working Group. (2008). Cognitive radio definition and nomenclature. Working Document SDRF-06-P-0009-V0.5.0. 30, May 2008.
Wireless Innovation Forum MLM Working Group. (2008). Use cases for MLM language in modern wireless networks. Working Document SDRF-08-P-0009-V.1.0.0. Retrieved from http://groups.winnforum.org/d/do/1562. Accessed Jan 2009.
Wireless Innovation Forum MLM Working Group. (2010). Description of cognitive radio ontology (vol. 1.0), WINNF-10-S-0007. Retrieve from http://groups.winnforum.org/d/do/3370. Accessed Sept 2010.
Acknowledgments
This work has been partially supported by a DARPA contract through System Planning Corporation (Agreement No. SRA-0775). The views, opinions, and/or findings contained in this article/presentation are those of the author/presenter and should not be interpreted as representing the official views or policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the Department of Defense.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, S., Moskal, J., Kokar, M.M. et al. An implementation of collaborative adaptation of cognitive radio parameters using an ontology and policy based approach. Analog Integr Circ Sig Process 69, 283–296 (2011). https://doi.org/10.1007/s10470-011-9681-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10470-011-9681-y