DocumentCode :
1748336
Title :
Signature sequence optimization in asynchronous CDMA systems
Author :
Ulukus, Sennur ; Yates, Roy D.
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
545
Abstract :
We characterize the user capacity, i.e., the maximum number of supportable users at a common SIR target level for a fixed processing gain, of a single-cell symbol asynchronous CDMA system. We show that the user capacity of an asynchronous system is the same as the user capacity of a synchronous system; that is there is no loss in user capacity due to asynchrony. Optimum signature sequences are those that minimize the total squared asynchronous correlation (TSAC) among the users, and depend on users´ delay profile. Optimum received powers of the users are equal, and the optimum linear receiver filters in any observation window of size M⩾1 symbols (i.e., M-shot MMSE filters) are one-shot matched filters. We present iterative and distributed signature adaptation algorithms where, at each iteration, only one user updates its signature sequence to decrease the TSAC of the set
Keywords :
cellular radio; channel capacity; code division multiple access; correlation methods; filtering theory; iterative methods; least mean squares methods; matched filters; multiuser channels; optimisation; sequences; MMSE filters; code division multiple access; delay profile; distributed signature adaptation algorithm; interference suppression; iterative signature adaptation algorithm; multiuser detection; observation window size; one-shot matched filters; optimum linear receiver filters; optimum received powers; optimum signature sequences; processing gain; signal to interference ratio; signature sequence optimization; single-cell symbol asynchronous CDMA system; synchronous system; total squared asynchronous correlation minimisation; user capacity; Code division multiplexing; Delay; H infinity control; Interference; Iterative algorithms; Matched filters; Multiaccess communication; Multiuser detection; Nonlinear filters; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
Type :
conf
DOI :
10.1109/ICC.2001.936999
Filename :
936999
Link To Document :
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