DocumentCode :
2390244
Title :
On CDMA transmission over mismatched fading channels employing MMSE-receivers and successive cancellation
Author :
Lampe, Alexander
Author_Institution :
Erlangen-Nurnberg Univ., Germany
fYear :
2000
fDate :
2000
Firstpage :
333
Abstract :
A closed solution to the capacity of synchronous CDMA for fading channels supposing exact channel knowledge at the receiver and infinite spreading factor, i.e., N→∞ has been derived by Shamai and Verdu (see IEEE Trans. on IT, 1999). On the other hand, considering imperfect channel state information Evans and Tse (see IEEE Trans. on IT, 1999) derived analytical solutions to the signal to noise ratio provided by linear multiuser receivers and could also give results for the error variance resulting from linear channel estimation. Here, lower and upper bounds on the users SIR reachable by means of a nonlinear MMSE-receiver applying successive cancellation while assuming a certain channel estimation accuracy are given. Note that due to imperfect channel estimation the interference from previously decoded users cannot be cancelled completely even if no decoding errors occur
Keywords :
channel capacity; code division multiple access; fading channels; interference suppression; least mean squares methods; multiuser channels; radio receivers; radiofrequency interference; spread spectrum communication; CDMA transmission; SIR; analytical solutions; channel estimation accuracy; closed solution; decoding errors; error variance; exact channel knowledge; imperfect channel state information; infinite spreading factor; interference cancellation; linear channel estimation; linear multiuser receivers; lower bound; mismatched fading channels; nonlinear MMSE receiver; random spreading sequence; signal to noise ratio; successive cancellation; synchronous CDMA capacity; upper bound; Analysis of variance; Channel estimation; Channel state information; Code division multiplexing; Decoding; Fading; Information analysis; Multiaccess communication; Signal analysis; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
Type :
conf
DOI :
10.1109/ISIT.2000.866631
Filename :
866631
Link To Document :
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