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Improving the performance of third-generation wireless communication systems

Part of: Communication, information Limit theorems

Published online by Cambridge University Press:  01 July 2016

Remco van der Hofstad  and
Marten J. Klok
Remco van der Hofstad*
Affiliation:
Delft University of Technology
Marten J. Klok*
Affiliation:
Delft University of Technology
*
∗ Current address: Department of Mathematics and Computer Science, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands. Email address: [email protected]
∗∗ Current address: ORTEC BV, Orlyplein 145c, 1043 DV Amsterdam, The Netherlands. Email address: [email protected]
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Abstract

The third-generation (3G) mobile communication system uses a technique called code division multiple access (CDMA), in which multiple users use the same frequency and time domain. The data signals of the users are distinguished using codes. When there are many users, interference deteriorates the quality of the system. For more efficient use of resources, we wish to allow more users to transmit simultaneously, by using algorithms that utilize the structure of the CDMA system more effectively than the simple matched filter (MF) system used in the proposed 3G systems. In this paper, we investigate an advanced algorithm called hard-decision parallel interference cancellation (HD-PIC), in which estimates of the interfering signals are used to improve the quality of the signal of the desired user. We compare HD-PIC with MF in a simple case, where the only two parameters are the number of users and the length of the coding sequences. We focus on the exponential rate for the probability of a bit-error, explain the relevance of this parameter, and investigate how it scales when the number of users grows large. We also review extensions of our results, proved elsewhere, showing that in HD-PIC, more users can transmit without errors than in the MF system.

Keywords

Large deviation theoryexponential ratecode division multiple accesshard-decision parallel interference cancellation

MSC classification

Primary: 60F10: Large deviations
Secondary: 60F17: Functional limit theorems; invariance principles 94A11: Application of orthogonal and other special functions 94A12: Signal theory (characterization, reconstruction, filtering, etc.)
Type
General Applied Probability
Information
Advances in Applied Probability , Volume 36 , Issue 4 , December 2004 , pp. 1046 - 1084
Copyright
Copyright © Applied Probability Trust 2004 

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