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- W17336708 abstract "Increasing demand and limited bandwidth available for mobile communication services require efficient use of radio resources among diverse services. In future wireless packet networks, it is anticipated that a wide variety of data applications, ranging from WWW browsing to Email, and real time services like packetized voice and videoconference will be supported with varying levels of QoS. Therefore there is a need for packet and service scheduling schemes that effectively provide QoS guarantees and at the same time are simple to implement. This paper describes a novel dynamic admission control and scheduling technique based on genetic algorithms focusing on static and dynamic parameters of service classes 1 . Performance of this technique is evaluated against data services and also a traffic mix comprising voice and data. Better performance of this technique over the state of the art algorithms is illustrated on an example GPRS system. Extension of this is developed for dynamic handling of handover and new call admission control mechanisms (Appendix A). The results conclude that this adaptive dynamic handover scheme outperforms the available mechanisms." @default.
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- W17336708 date "2003-01-01" @default.
- W17336708 modified "2023-09-26" @default.
- W17336708 title "Use of Genetic Algorithms in Efficient Scheduling for Multi Service Classes" @default.
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