Optimal spectrum sensing in cognitive adhoc networks: a multi-layer frame work

  • Authors:
  • Sasirekha Gvk;Jyotsna Bapat

  • Affiliations:
  • International Institute of Information Technology, Bangalore, India;International Institute of Information Technology, Bangalore, India

  • Venue:
  • Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
  • Year:
  • 2011

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Abstract

Cognitive Radio (CR) has the ability to tune to any available portion of the target spectral band and establish network communications. For "Dynamic Spectrum Access" to be a possibility, the CR needs to be able to determine the current spectral occupancy. Spectrum sensing has been an active research area and various localized and distributed algorithms have been proposed in literature. In this paper, we propose an optimal spectral sensing framework for the cognitive adhoc networks. The framework involves optimization at two levels. Level 1 is at the physical layer, involving spectrum sensing optimization at each CR, while level 2 (link layer) optimization involves optimal fusion of information from each CR. Each CR follows an optimal spectrum sensing schedule. The global optimization is obtained by adapting the decision threshold at each CR based on the group decision obtained by fusing spectral occupation information from other CRs in the network. The advantages of the proposed method are spectral information accuracy, noise power measurement immunity and the resource efficiency.