Iterative decoding and soft interference cancellation for the Gaussian multiple access channel

Author

Ibrahim, Nicolas ; Kaleh, Ghassan Kawas

Author_Institution

Ecole Nat. Superieure des Telecommun., Paris, France

fYear

1998

fDate

29 Sep-2 Oct 1998

Firstpage

156

Lastpage

161

Abstract

We study for the Gaussian multiple access channel a joint channel decoder and multiple access interference canceller. For each user, the decoder output is used to generate a soft estimate of the user signal. The estimate is improved by iterating decoding and cancellation until reliable estimation of all users is reached. A reliable decoding is then performed. Simulation results are presented

Keywords

Gaussian channels; binary codes; convolutional codes; interference suppression; iterative decoding; multi-access systems; radiofrequency interference; spread spectrum communication; Gaussian multiple access channel; SSMA; convolutional binary codes; decoder output; iterative decoding; joint channel decoder; multiple access interference; multiple access interference canceller; reliable decoding; reliable estimation; simulation results; soft estimate; soft interference cancellation; spread-spectrum multiple access; user signal; Channel capacity; H infinity control; Information rates; Interference cancellation; Iterative decoding; Multiaccess communication; Multiple access interference; Power control; Signal generators; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Electronics, 1998. ISSSE 98. 1998 URSI International Symposium on

Conference_Location

Pisa

Print_ISBN

0-7803-4900-8

Type

conf

DOI

10.1109/ISSSE.1998.738057

Filename

738057