Multichannel multiuser detection of space-time turbo codes: experimental performance results

Implementations of various fast Fourier transform (FFT) algorithms are presented for distributed-memory multiprocessors. These algorithms use data redistribution to localize the computation. The goal is to optimize communication cost by using a minimum number of redistribution steps. Both analytical and experimental performance results on the Intel iPSC/860 system are presented.

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Space-time multiuser detection with alternating soft interference cancellation in highly loaded CDMA systems

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems ◽

10.1109/apccas.2008.4746050 ◽

2008 ◽

Author(s):

Hoang-Yang Lu ◽

Wen-Hsien Fang

Keyword(s):

Multiuser Detection ◽

Interference Cancellation ◽

Space Time ◽

Cdma Systems ◽

Highly Loaded

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Ant-Colony Based Near-ML Space-Time Multiuser Detection for the STBC Assisted DS-CDMA Uplink

2010 IEEE 71st Vehicular Technology Conference ◽

10.1109/vetecs.2010.5493616 ◽

2010 ◽

Author(s):

Chong Xu ◽

Lie-Liang Yang ◽

Lajos Hanzo

Keyword(s):

Multiuser Detection ◽

Space Time ◽

Ant Colony

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Group-Optimal Linear Space-Time Multiuser Detection

2006 Canadian Conference on Electrical and Computer Engineering ◽

10.1109/ccece.2006.277598 ◽

2006 ◽

Author(s):

Benoit Pelletier ◽

Benoit Champagne

Keyword(s):

Linear Space ◽

Multiuser Detection ◽

Space Time ◽

Optimal Linear

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Space–Time Block Coding Iterative Multiuser Receiver

Journal of Circuits System and Computers ◽

10.1142/s0218126603000817 ◽

2003 ◽

Vol 12 (01) ◽

pp. 19-30

Author(s):

Hong Rui Jiang ◽

Kyung Sup Kwak

Keyword(s):

Multiuser Detection ◽

Channel Coding ◽

Interference Cancellation ◽

Space Time ◽

Time Block ◽

Block Coding ◽

Space Time Block Coding ◽

Multiuser Receiver ◽

Single User ◽

User Space

We present a multiuser receiver for CDMA systems with the combination of turbo channel coding and space–time block coding. A turbo scheme based on multiuser detection, soft interference cancellation and decoding is provided, and the algorithms for space–time decoding and separately interference suppressing are derived in this paper. The multiuser detection consists of multiuser interference suppression and single-user space–time decoding. Then we develop the iterative multiuser receiver based on the soft estimates of the interfering users' symbols. Moreover, simulation is given to verify the effectiveness of the multiuser receiver.

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