Autonomic radio networks channel allocation

This paper investigates dynamic channel allocation in a non-cooperative autonomic radio networks environment. We propose a more realistic system adaptation and convergence analysis, capturing lower layer features like spectral efficiency, bit error rate and interference mitigation taking into account suitable modulation parameters. Besides that, we sketch an evolutionary game-theoretic approach that captures network adaptation and system convergence. Using the proposed model, we numerically demonstrate several interesting properties, showing the strict dependence of modulation parameters for this environment.