URV ESPRIT for tracking time-varying signals
URV ESPRIT for tracking time-varying signals
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Digital Beamforming in Wireless Communications
Digital Beamforming in Wireless Communications
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
A parallel implementation of ant colony optimization
Journal of Parallel and Distributed Computing - Problems in parallel and distributed computing: Solutions based on evolutionary paradigms
Parallelization Strategies for Ant Colony Optimization
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
An Island Model Based Ant System with Lookahead for the Shortest Supersequence Problem
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Ant Colony Optimisation Applied to a Dynamically Changing Problem
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Unitary ESPRIT: how to obtain increased estimation accuracy with areduced computational burden
IEEE Transactions on Signal Processing
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
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The following chapter describes and discusses the suitability of ant colony optimization (ACO) to an employment with blind adaptation of the directional characteristic of antenna array systems. Due to the special advantage of the ACOs their robustness and high adaptation rate-this very young heuristically optimization strategy allows its application in the field of high radio frequency systems. In order to fulfil the hard real time constraints for beam forming in ranges of few milliseconds a very efficient hardware implementation for a highly parallel distributed logic is proposed in this chapter. The application requirements are given because of the high mobility of wireless subscribers in modern telecommunication networks. Such a dynamic alignment of the directional characteristic of a base-station antenna can be achieved with the help of a hardware based Ant Colony Optimization, by controlling the steerable antenna array system parameters as digital phase shifts and amplitude adjustment. By means of extensive simulations it was confirmed that the suggested ACO fulfils the requirements regarding the highly dynamic changes of the environment. Based on these results a concept is presented to integrate the optimizing procedure as high-parallel digital circuit structure in a customized integrated circuit of a reconfigurable gate array.