A QoS Constrained Call Admission Control Algorithm in Voice/Data Integrated WCDMA Systems

碩士 === 國立臺灣大學 === 資訊管理學研究所 === 92 === Data and multimedia services are becoming more and more dominant, and worldwide operators are announced that they are ready to provide 3G (3rd Generation Wireless Systems) service. 3G will allow more advanced added-value data services for mobile users, who can,...

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Bibliographic Details
Main Authors: Yu-Hsien Ku, 顧育先
Other Authors: Yeong-Sun Lin
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/w5258g
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Summary:碩士 === 國立臺灣大學 === 資訊管理學研究所 === 92 === Data and multimedia services are becoming more and more dominant, and worldwide operators are announced that they are ready to provide 3G (3rd Generation Wireless Systems) service. 3G will allow more advanced added-value data services for mobile users, who can, for example, view downloaded or streaming video content at a data rate of 384 Kbps to 2 Mbps over the radio spectrum. Call admission control plays an important role in providing different QoS guarantee for each user. UMTS (Universal Mobile Telecommunications System) using WCDMA (Wideband Code Division Multiple Access) is one of popular standard of 3G. By using CDMA technique, messages for different users are identified, and all users use the same bandwidth to transfer messages in the same time slot. However, the interference caused by the transmission power of other users will be the limit of system capacity. This thesis focuses on the viewpoint of the capacity and the maximum revenue of the whole system to achieve the optimal network resource utility and the maximum total revenue for the subscribers. In past, researches in WCDMA call admission control are only consider unidirectional (uplink or downlink) interference and most of them discuss voice traffic only. In this thesis, we combined the most important issues, such as downlink interference, uplink interference, voice/data integrated traffic, power control and soft handover into consideration. This thesis developed a mathematical programming model to formulate this joint design optimization problem. This problem turns out to be a linear mixed integer programming problem. A set of heuristic solution procedures based on Lagrangian relaxation methods is proposed to solve the complicated problem.