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Coded IDMA system performance with parallel interleavers

Hammarberg, Peter LU ; Wu, Shuang; Chen, Xiang; Wang, Jing and Edfors, Ove LU (2010) 6th Conference on Wireless Advanced (WiAD) In [Host publication title missing] p.1-4
Abstract
In this paper we evaluate the use of parallel interleavers for user separation in coded IDMA systems. The parallel interleavers have previously been evaluated for uncoded systems, and we here present extended results for the coded case. The new results are important for real systems, as they will most likely use performance enhancing channel coding. The parallel interleavers are designed to remove the risk of memory access collision during interleaving. These problems may occur when the interleaving process is being parallelized in order to support parallel processing at the decoder. The results show that the degree of parallelization in the interleaver design has an insignificant effect on the considered coded system performance.... (More)
In this paper we evaluate the use of parallel interleavers for user separation in coded IDMA systems. The parallel interleavers have previously been evaluated for uncoded systems, and we here present extended results for the coded case. The new results are important for real systems, as they will most likely use performance enhancing channel coding. The parallel interleavers are designed to remove the risk of memory access collision during interleaving. These problems may occur when the interleaving process is being parallelized in order to support parallel processing at the decoder. The results show that the degree of parallelization in the interleaver design has an insignificant effect on the considered coded system performance. Furthermore, our results also show that the use of parallel interleavers gives a performance that is similar to that obtained when using random interleavers. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
system performance, IDMA, parallel interleavers
in
[Host publication title missing]
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
6th Conference on Wireless Advanced (WiAD)
external identifiers
  • Scopus:77956531133
ISBN
978-1-4244-7069-3
DOI
10.1109/WIAD.2010.5544488
language
English
LU publication?
yes
id
46d47994-c34b-4a32-a316-da4cff70d1a0 (old id 1668975)
date added to LUP
2010-09-09 13:54:39
date last changed
2017-01-01 08:04:46
@inproceedings{46d47994-c34b-4a32-a316-da4cff70d1a0,
  abstract     = {In this paper we evaluate the use of parallel interleavers for user separation in coded IDMA systems. The parallel interleavers have previously been evaluated for uncoded systems, and we here present extended results for the coded case. The new results are important for real systems, as they will most likely use performance enhancing channel coding. The parallel interleavers are designed to remove the risk of memory access collision during interleaving. These problems may occur when the interleaving process is being parallelized in order to support parallel processing at the decoder. The results show that the degree of parallelization in the interleaver design has an insignificant effect on the considered coded system performance. Furthermore, our results also show that the use of parallel interleavers gives a performance that is similar to that obtained when using random interleavers.},
  author       = {Hammarberg, Peter and Wu, Shuang and Chen, Xiang and Wang, Jing and Edfors, Ove},
  booktitle    = {[Host publication title missing]},
  isbn         = {978-1-4244-7069-3},
  keyword      = {system performance,IDMA,parallel interleavers},
  language     = {eng},
  pages        = {1--4},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Coded IDMA system performance with parallel interleavers},
  url          = {http://dx.doi.org/10.1109/WIAD.2010.5544488},
  year         = {2010},
}