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Microcellular structures are the central means for increasing the network capacity of mobile radio systems. By examining existing dynamic channel allocation algorithms, the authors identify a class of adaptive algorithms best suited for such microcellular environments. Applicable algorithms of this class require intracell handover and are to a large extent decentralized. One new algorithm of this class is introduced and evaluated by means of simulation. The proposed algorithm (DYNINF) has been evaluated with respect to performance criteria such as blocking probability, interference probability, and number of handovers (stability). It is shown that, based on the capacity improvement achieved by microcells, no relevant further improvement of the capacity can be realized, but that the algorithm is very well suited to cope with the problems of microcells, e.g. discrepancies between the network plan and the real situation and heavy variations of the traffic and interference conditions.>
Beck et al. (Mon,) studied this question.