City University of Hong Kong
DSpace
 

CityU Institutional Repository >
3_CityU Electronic Theses and Dissertations >
ETD - Dept. of Electronic Engineering  >
EE - Master of Philosophy  >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/4497

Title: Multiuser detection and power control in CDMA systems
Other Titles: Ma fen duo zhi xi tong zhong duo yong hu jian ce he gong lü kong zhi
碼分多址系統中多用戶檢測和功率控制
Authors: Zhao, Lei (趙磊)
Department: Dept. of Electronic Engineering
Degree: Master of Philosophy
Issue Date: 2005
Publisher: City University of Hong Kong
Subjects: Code division multiple access
Demodulation (Electronics)
Notes: 123 leaves : ill. ; 30 cm.
CityU Call Number: TK5103.452.Z43 2005
Includes bibliographical references (leaves 114-121)
Thesis (M.Phil.)--City University of Hong Kong, 2005
Type: Thesis
Abstract: Currently, code-division multiple access (CDMA) technique continues to be a dominant air-interface technology for personal wireless communication systems. Mobile communication systems based on CDMA is always subject to multiple access interference (MAI) problem due to the difficulty in maintaining orthogonality of CDMA signals in a mobile environment. MAI which limits the system capacity of the CDMA systems and leads to strict power control requirements to alleviate the near-far problem can be solved by multiuser detection (MUD) technique through exploiting the information of signals from other interfering users. Meanwhile, MUD and power control problem are the root-finding procedure for solving systems of linear algebraic equations. It is well known that the iterative method is used for solving a set of linear equations corresponding to linear interference cancellation, one of MUD structures. In this thesis, the preconditioned iterative symmetric successive overrelaxation (SSOR) method as well as a new evolutionary computation technique particle swarm optimization (PSO) linear interference cancellation technique are suggested to solve MAI with simplified computational complexity. Finally, a preconditioned power control algorithm is introduced for realistic CDMA systems to solve the near-far problem with drastically fast convergence speed. Simulation results show that the SSOR preconditioner is a powerful tool for solving the problem of MUD and power control in CDMA systems and PSO is a great approach for MUD as well.
Online Catalog Link: http://lib.cityu.edu.hk/record=b2107120
Appears in Collections:EE - Master of Philosophy

Files in This Item:

File Description SizeFormat
fulltext.html159 BHTMLView/Open
abstract.html159 BHTMLView/Open

Items in CityU IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!
DSpace Software © 2013 CityU Library - Send feedback to Library Systems
Privacy Policy · Copyright · Disclaimer