Simulation of Throughput in UMTS Networks with Different Spreading Factors

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In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.

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Akl, Robert G. & Arepally, Anurag September 2006.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 349 times. More information about this paper can be viewed below.

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In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.

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5 p.

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Abstract: We design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios. The design of the SAC algorithm uses global information; it incorporates the session arrival rates and the user mobilities across the network and guarantees the users' quality of service as well as pre-specified blocking probabilities. On the other hand, its implementation in each cell uses local information; it only requires the number of sessions currently active in that cell. A global SAC algorithm is also implemented and used as a benchmark since it is inherently optimized and uses global information in making every session admission decision; it yields the best possible performance but has an intensive computational complexity. Using simulation, we determine the network throughput, and show that our optimized local SAC algorithm achieves almost the same performance as our global SAC algorithm at a fraction of the computational cost for pre-specified blocking probabilities and quality of service requirements and spreading factor values of 256, 64, 16, and 4.

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  • Sixty-Fourth Institute of Electrical and Electronics Engineers (IEEE) Vehicular Technology Conference, 2006, Montreal, Canada

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  • September 2006

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  • Jan. 24, 2011, 2:10 p.m.

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  • March 27, 2014, 1:17 p.m.

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Akl, Robert G. & Arepally, Anurag. Simulation of Throughput in UMTS Networks with Different Spreading Factors, paper, September 2006; (https://digital.library.unt.edu/ark:/67531/metadc30832/: accessed December 10, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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