Bio-inspired algorithms for dynamic resource allocation in cognitive wireless networks

Authors:
T. Renk;C. Kloeck;D. Burgkhardt;F. K. Jondral;D. Grandblaise;S. Gault;J.-C. Dunat
Affiliations:
Institut für Nahrichtentechnik, Universität Karlsruhe (TH), Karlsruhe, Germany;Institut für Nahrichtentechnik, Universität Karlsruhe (TH), Karlsruhe, Germany;Institut für Nahrichtentechnik, Universität Karlsruhe (TH), Karlsruhe, Germany;Institut für Nahrichtentechnik, Universität Karlsruhe (TH), Karlsruhe, Germany;Motorola Labs Paris, Parc-les-Algorithmes, Paris, France;Motorola Labs Paris, Parc-les-Algorithmes, Paris, France;Motorola Labs Paris, Parc-les-Algorithmes, Paris, France
Venue:
Mobile Networks and Applications
Year:
2008

Citing 6
Cited 4

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Swarm intelligence

Swarm intelligence
Evolutionary Optimization in Dynamic Environments

Evolutionary Optimization in Dynamic Environments
Multiswarms, exclusion, and anti-convergence in dynamic environments

IEEE Transactions on Evolutionary Computation
Wireless bandwidth in the making

IEEE Communications Magazine
Wireless mobile communications at the start of the 21st century

IEEE Communications Magazine

Connectivity based cognitive wireless network for disaster information network

Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
From biological and social network metaphors to coupled bio-social wireless networks

International Journal of Autonomous and Adaptive Communications Systems
Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

Wireless Networks
User policy based transmission control method in cognitive wireless network

ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

Regulation will experience enormous changes in the near future resulting in seamless connectivity by spectrum borders. A promising approach in this context is dynamic spectrum allocation which leads to a more flexible access to spectral resources by employing intelligent radio devices called cognitive radios. This paper is concerned with bio-inspired approaches that exploit distribution in multi-radio environments where many users have to share a finite resource harmoniously. Three applications of bio-inspired techniques are described. The first one deals with the detection of spectrum holes whereas the second one describes resource allocation in orthogonal frequency division multiple access based systems. The third one is concerned with distributed resource auctioning.