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Link-State Aware Traffic Scheduling for Providing Predictive QoS in Wireless Mobile Multimedia Networks

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Book cover High Performance Computing – HiPC’99 (HiPC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1745))

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Abstract

Performance of a centralized traffic priority based dynamic burst level cell scheduling scheme is investigated in a correlated fading channel. The scheduling scheme is designed for transmission of multiservice traffic over TDMA/TDD channels in a WATM (Wireless ATM) network. In this scheme, the number of slots allocated to a VC (Virtual Circuit) is changed dynamically depending on the traffic type, system traffic load, the TOE (Time of Expiry) value of the data burst and data burst length in addition to the channel error status. In fact, the scheme can be considered as a single integrated scheme for link-level traffic scheduling and ARQ-based error control for multiservice wireless networks. Performance of the proposed scheme is evaluated through computer simulation for realistic voice, video and data traffic models, the QoS requirements of different traffic classes in a wireless mobile network and correlated Rayleigh fading channel model. Simulation results show that, the proposed scheduling scheme can provide reasonably high channel utilization with predictive QoS guarantee in a multiservice traffic environment. At the same time such a scheme can result in an energy efficient TDMA/TDD medium access control protocol for broadband wireless access.

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© 1999 Springer-Verlag Berlin Heidelberg

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Hossain, A.Z.M.E., Bhargava, V.K., FIEEE. (1999). Link-State Aware Traffic Scheduling for Providing Predictive QoS in Wireless Mobile Multimedia Networks. In: Banerjee, P., Prasanna, V.K., Sinha, B.P. (eds) High Performance Computing – HiPC’99. HiPC 1999. Lecture Notes in Computer Science, vol 1745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46642-0_32

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  • DOI: https://doi.org/10.1007/978-3-540-46642-0_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66907-4

  • Online ISBN: 978-3-540-46642-0

  • eBook Packages: Springer Book Archive

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