A Simulation Study of Convergence Speed for Distributed Codeword Adaptation Algorithms in CDMA Wireless Systems

Author

Sahana Maharjan, Old Dominion University

Date of Award

Summer 2009

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Electrical and Computer Engineering

Committee Director

Dimitrie Popescu

Committee Member

Oscar R. Gonzalez

Committee Member

Min Song

Call Number for Print

Special Collections LD4331.E55 M34 2009

Abstract

In this thesis we present a side-by-side comparison of interference avoidance (IA) algorithms for distributed codeword adaptation in Code Division Multiple Access (CDMA) systems. In CDMA systems, the interference is determined by the values of the cross-correlation of codewords assigned to users, and various algorithms can be used for codeword optimization. The IA algorithms for codeword adaptation considered are the eigen-algorithm, the Minimum Mean Square Error (MMSE) update, and the adaptive IA algorithm, for which we investigate convergence speed using the extensive simulations of several uplink CDMA system scenarios. The results of this thesis were presented at the Fourth IEEE Radio and Wireless Symposium (RWS), San Diego, CA in January 2009.

Rights

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DOI

10.25777/jssh-bt31

Recommended Citation

Maharjan, Sahana. "A Simulation Study of Convergence Speed for Distributed Codeword Adaptation Algorithms in CDMA Wireless Systems" (2009). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/jssh-bt31
https://digitalcommons.odu.edu/ece_etds/429