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Brief Announcement: Synchronous Distributed Algorithms for Node Discovery and Configuration in Multi-channel Cognitive Radio Networks

  • Srinivasan Krishnamurthy
  • R. Chandrasekaran
  • Neeraj Mittal
  • S. Venkatesan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4167)

Abstract

Cognitive Radios (CR) [4] enable flexible and improved radio spectrum utilization by allowing a group of CR nodes to utilize unused channels without interference with the channels’ owners [1]. A CR node has a set of available (wireless) channels and this set varies with time, location and activities of the primary (licensed) users. Determining a node’s neighborhood and common channels for communication is non-trivial. We propose several efficient distributed algorithms for node discovery and configuration (NDC) for various CR node models. Krishnamurthy et al. [3] proposed a solution for NDC without a control channel. In their model, each node has a single transceiver. If N is the maximum number of nodes and M is the maximum number of channels, their algorithm uses 2NM timeslots for NDC. Other works assume a common control channel, or every node is equipped with a separate radio interface for each channel or an identical frequency distribution at each node. Please see [2] for a thorough discussion of related work. Here, we extend the algorithms of [3] to other CR node models.

Keywords

Cognitive Radio Cognitive Radio Network Common Channel Common Control Channel Node Discovery 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Broderson, R.W., Wolisz, A., Cabric, D., Mishra, S.M., Willkomm, D.: Corvus: A Cognitive Radio Approach for Usage of Virtual Unlicensed SpectrumGoogle Scholar
  2. 2.
    Krishnamurthy, S., Chandrasekaran, R., Venkatesan, S., Mittal, N.: Algorithms for Node Discovery and Configuration in Cognitive Radio Networks. Technical Report UTDCS-23-06, The Univ. of Texas at Dallas, Richardson, TX (May 2006)Google Scholar
  3. 3.
    Krishnamurthy, S., Thoppian, M., Kuppa, S., Chandrasekaran, R., Venkatesan, S., Mittal, N., Prakash, R.: Time-efficient Layer-2 Auto-configuration for Cognitive Radios. In: PDCS 2005, Phoenix, AZ (November 2005)Google Scholar
  4. 4.
    Mitola, J.: Cognitive Radio: An Integrated Agent Architecture for Software Defined RadioGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Srinivasan Krishnamurthy
    • 1
  • R. Chandrasekaran
    • 1
  • Neeraj Mittal
    • 1
  • S. Venkatesan
    • 1
  1. 1.School of Engr. and Comp. ScienceThe University of Texas at DallasRichardsonUSA

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