A bio-inspired fast swarming algorithm for dynamic radio access

Author

Lorenzo, Paolo Di ; Barbarossa, Sergio ; Sayed, Ali H.

Author_Institution

DIET, Sapienza Univ. of Rome, Rome, Italy

fYear

2011

fDate

6-8 July 2011

Firstpage

1

Lastpage

6

Abstract

The goal of this paper is to propose a bio-inspired algorithm for decentralized dynamic access in cognitive radio systems. We study an improved social foraging swarm model that lets every node allocate its resources (power/bits) in the frequency regions where the interference is minimum while avoiding collisions with other nodes. The proposed approach adapts its behavior with respect to the interference power perceived by every node, thus increasing the speed of convergence and reducing the reaction time needed by the algorithm to react to dynamic changes in the environment. The presence of random disturbances such as link failures, quantization noise and estimation errors is taken into account in the convergence analysis. Numerical results illustrate the performance of the proposed algorithm.

Keywords

cognitive radio; estimation theory; quantisation (signal); bio-inspired fast swarming algorithm; cognitive radio system; convergence analysis; decentralized dynamic access; dynamic radio access; estimation error; quantization noise; resource allocation; social foraging swarm model; Adaptation models; Convergence; Interference; Noise; Quantization; Resource management; Time frequency analysis; Cognitive radio; channel imperfections; distributed resource allocation; social foraging swarms;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2011 17th International Conference on

Conference_Location

Corfu

ISSN

Pending

Print_ISBN

978-1-4577-0273-0

Type

conf

DOI

10.1109/ICDSP.2011.6004963

Filename

6004963