Research Article
Implementation of Dynamic Spectrum Allocation for Cognitive Radio Networks based on Iterative Water Filling in OMNeT++/MiXiM
@INPROCEEDINGS{10.4108/icst.simutools.2011.245503, author={S\^{e}bastien D'hondt and Bart Scheers and Vincent Le Nir}, title={Implementation of Dynamic Spectrum Allocation for Cognitive Radio Networks based on Iterative Water Filling in OMNeT++/MiXiM}, proceedings={4th International ICST Workshop on OMNeT++}, publisher={ACM}, proceedings_a={OMNET++}, year={2012}, month={4}, keywords={Iterative Water Filling Wireless communications Discrete event}, doi={10.4108/icst.simutools.2011.245503} }- Sébastien D'hondt
Bart Scheers
Vincent Le Nir
Year: 2012
Implementation of Dynamic Spectrum Allocation for Cognitive Radio Networks based on Iterative Water Filling in OMNeT++/MiXiM
OMNET++
ACM
DOI: 10.4108/icst.simutools.2011.245503
Abstract
The growth in wireless technology and the increasing demand for wireless multimedia services creates a lack of spectrum. A potential solution to this issue is to allocate the spectrum dynamically by means of cognitive radio. Iterative Water Filling (IWF) can offer a practical solution to this dynamic spectrum allocation. Straightforward implementations of IWF in C/C++ or Matlab already exist. To our knowledge, this algorithm has not been studied yet in an event-driven simulator such as OMNeT++/MiXiM. For the implementation of the IWF, it is required to have multiple sub-channels with an adjustable power for each of them. In this work, several existing MiXiM modules are extended in order to permit the use of multiple sub-channels for the communication between nodes. Moreover, new classes, maps and events are created for the implementation of the IWF algorithm. The implementation is validated through simulations of a scenario where two tactical radio networks coexist in the same area.