Impact of Interference Model on Capacity in CDMA Cellular Networks

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This paper discusses an impact of interference model on capacity in CDMA cellular networks.

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5 p.

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Akl, Robert G. & Parvez, Asad May 2004.

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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 371 times. More information about this paper can be viewed below.

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This paper discusses an impact of interference model on capacity in CDMA cellular networks.

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5 p.

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Abstract: An overwhelming number of models in the literature use average interference for calculation of capacity of a CDMA network. In this paper, we calculate the actual per-user interference and analyze the effect of user-distribution on the capacity of a CDMA network. We show that even though the capacity obtained using average interference is a good approximation to the capacity calculated using actual interference for a uniform user distribution, the deviation can be tremendously large for non-uniform user distributions.

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  • Eighth World Multiconference on Systematics, Cybernetics and Informatics (SCI), July 18-21, 2004. Orlando, FL, United States

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UNT Scholarly Works

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Impact of Interference Model on Capacity in CDMA Cellular Networks (Presentation)

Impact of Interference Model on Capacity in CDMA Cellular Networks

This presentation introduces code division multiple access (CDMA) networks, average and actual interference models, optimized capacity, and the 2D Gaussian user model.

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Impact of Interference Model on Capacity in CDMA Cellular Networks, ark:/67531/metadc30932

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  • May 2004

Added to The UNT Digital Library

  • Jan. 24, 2011, 2:10 p.m.

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  • Nov. 28, 2023, 1:57 p.m.

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Akl, Robert G. & Parvez, Asad. Impact of Interference Model on Capacity in CDMA Cellular Networks, paper, May 2004; [Winter Garden, Florida]. (https://digital.library.unt.edu/ark:/67531/metadc30817/: accessed May 15, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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