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Soft capacity modeling for WCDMA radio resource management

Abstract

This work addresses wireless capacity models and capacity consumption models for 3G WCDMA system analysis. Uplink and downlink capacities are viewed as multiple heterogeneous circuit-switched and packet-switched pools of various bit rate channels, wherein traffic channels and control channels contend for the same capacity within a cell. An individual user's consumption of capacity is formulated as a function of the user's traffic class, activity factor and negotiated QoS. Simulation based analysis, of resource management algorithms that employ admission control and channel rate- and type-switching, are undertaken to compare results obtained using the proposed capacity and capacity consumption models to that obtained using existing homogeneous models. The primary results demonstrate that differentiating between channel modes, giving consideration to control channel utilization, and giving consideration to user's service type can each significantly impact the results and conclusions drawn from resource management protocol analysis.

Capacity Model; 3G; WCDMA; Radio Resource Management


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ARTICLES

Soft capacity modeling for WCDMA radio resource management

Bing CaoI, III; Teresa A. DahlbergII, III

IStudent Member, IEEE

IIMember, IEEE

IIIComputer Science Department, University of North Carolina at Charlotte, Charlotte, NC 28223, USA {bcao,tdahlberg}@uncc.edu

ABSTRACT

This work addresses wireless capacity models and capacity consumption models for 3G WCDMA system analysis. Uplink and downlink capacities are viewed as multiple heterogeneous circuit-switched and packet-switched pools of various bit rate channels, wherein traffic channels and control channels contend for the same capacity within a cell. An individual user's consumption of capacity is formulated as a function of the user's traffic class, activity factor and negotiated QoS. Simulation based analysis, of resource management algorithms that employ admission control and channel rate- and type-switching, are undertaken to compare results obtained using the proposed capacity and capacity consumption models to that obtained using existing homogeneous models. The primary results demonstrate that differentiating between channel modes, giving consideration to control channel utilization, and giving consideration to user's service type can each significantly impact the results and conclusions drawn from resource management protocol analysis.

Keywords: Capacity Model, 3G, WCDMA, Radio Resource Management.

T. A. Dahlberg is a professor in the Computer Science Department, University of North Carolina at Charlotte, Charlotte, NC 28223, USA (corresponding author, e-mail: tdahlber@uncc.edu).

B.Cao is a doctoral student in the Computer Science Department, University of North Carolina at Charlotte, Charlotte, NC 28223, USA (e-mail: bcao@uncc.edu).

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Publication Dates

  • Publication in this collection
    14 Sept 2004
  • Date of issue
    Apr 2003
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