TP-UrbanX - A new transport protocol for Cognitive Multi-Radio Mesh Networks

  • Authors:
  • Wooseong Kim;M. Gerla;A. J. Kassler;M. D. Felice

  • Affiliations:
  • Dept. of Comput. Sci., Univ. of California, Los Angeles, CA, USA;Dept. of Comput. Sci., Univ. of California, Los Angeles, CA, USA;Dept. of Comput. Sci., Karlstad Univ., Karlstad, Sweden;Dept. of Comput. Sci., Univ. of Bologna, Bologna, Italy

  • Venue:
  • WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
  • Year:
  • 2011

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Abstract

Urban-X is a new architecture for Multi-Radio Cognitive Mesh Networks based on principles from Dynamic Spectrum Access Networks. In the Urban-X, spectrum sensing and mobility are challenging a transport control protocol (TCP) whose performance is sensitive to varying delay and available bandwidth. Also high packet loss due to primary users lets standard TCP to operate inefficiently. In this study, we propose a new transport protocol TP-UrbanX for the Urban-X which exploits reinforcement based learning techniques to learn an optimal sending rate and adapt this rate given the dynamics of the environment such as spectrum sensing and channel mobility.