CSMA interaction detection and capacity estimation in cognitive radio networks

ABSTRACT

Estimation of the available capacity in a multiple hop route in cognitive radio networks is challenging. Several complex problems like channel assignment, interference estimation and routing effects needs to be addressed. In this demonstration, we exhibit a capacity estimation engine that determines the available capacity of the routes in a dynamic cognitive radio network using USRP and WARP software-defined radios. In addition to the available capacity, we show the various types of MAC interference and its effect in the network. The tool demonstrates a fundamental capacity estimation block, which provides valuable input to higher level applications like routing, network provisioning and monitoring. A scheduling aware routing algorithm that exploits the capacity estimation engine and scheduling interactions is shown as an example application.

REFERENCES

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INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.3 Network Operations
          Subjects: Network monitoring

Additional Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.3 Network Operations
          Subjects: Network management
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Measurement techniques

General Terms:
Algorithms, Experimentation, Measurement, Performance

Keywords:
capacity estimation, csma, interference, software-defined radio, wireless