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Downlink capacity of interference-limited MIMO systems with joint detection

Dai, HY ; Molisch, Andreas LU and Poor, HV (2004) In IEEE Transactions on Wireless Communications 3(2). p.442-453
Abstract
The capacity of downlink cellular multiple-input multiple-output (MIMO) systems, where co-channel interference is the dominant. channel impairment, is investigated in this paper, mainly from a signal-processing perspective. Turbo space-time multiuser detection (ST MUD) is employed for intracell communications and is shown to closely approach the ultimate capacity limits in Gaussian ambient noise for an isolated cell. Then, it is combined with various multiuser detection methods for combating intercell interference. Among various multiuser detection techniques examined, linear minimum-mean-square-error (MMSE) MUD and successive interference cancellation are shown to be feasible and effective. Based on these two multiuser detection schemes,... (More)
The capacity of downlink cellular multiple-input multiple-output (MIMO) systems, where co-channel interference is the dominant. channel impairment, is investigated in this paper, mainly from a signal-processing perspective. Turbo space-time multiuser detection (ST MUD) is employed for intracell communications and is shown to closely approach the ultimate capacity limits in Gaussian ambient noise for an isolated cell. Then, it is combined with various multiuser detection methods for combating intercell interference. Among various multiuser detection techniques examined, linear minimum-mean-square-error (MMSE) MUD and successive interference cancellation are shown to be feasible and effective. Based on these two multiuser detection schemes, one of which may outperform the other for different settings, an adaptive detection scheme is developed, which together with a Turbo ST MUD structure offers substantial performance gain over the well-known V-BLAST techniques with coding in this interference-limited cellular environment. The obtained multiuser capacity is excellent in the high to medium signal-to-interference ratio scenario. Nonetheless, numerical results also indicate that a further increase in system complexity, using base-station cooperation, could lead to further significant increases of the system capacity. The asymptotic multicell MIMO capacity with linear MMSE MUD preprocessing is also derived, and this analysis agrees well with the simulation results. (Less)
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
multiuser detection, multiple-output (MIMO) systems, multiple-input, co-channel interference, adaptive detection, BLAST, turbo processing
in
IEEE Transactions on Wireless Communications
volume
3
issue
2
pages
442 - 453
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000220158400014
  • scopus:2342520032
ISSN
1536-1276
DOI
10.1109/TWC.2003.821168
language
English
LU publication?
yes
id
bcee0750-beae-4c09-89f9-e762d3a9eb8b (old id 284878)
date added to LUP
2016-04-01 15:48:40
date last changed
2022-03-14 20:10:15
@article{bcee0750-beae-4c09-89f9-e762d3a9eb8b,
  abstract     = {{The capacity of downlink cellular multiple-input multiple-output (MIMO) systems, where co-channel interference is the dominant. channel impairment, is investigated in this paper, mainly from a signal-processing perspective. Turbo space-time multiuser detection (ST MUD) is employed for intracell communications and is shown to closely approach the ultimate capacity limits in Gaussian ambient noise for an isolated cell. Then, it is combined with various multiuser detection methods for combating intercell interference. Among various multiuser detection techniques examined, linear minimum-mean-square-error (MMSE) MUD and successive interference cancellation are shown to be feasible and effective. Based on these two multiuser detection schemes, one of which may outperform the other for different settings, an adaptive detection scheme is developed, which together with a Turbo ST MUD structure offers substantial performance gain over the well-known V-BLAST techniques with coding in this interference-limited cellular environment. The obtained multiuser capacity is excellent in the high to medium signal-to-interference ratio scenario. Nonetheless, numerical results also indicate that a further increase in system complexity, using base-station cooperation, could lead to further significant increases of the system capacity. The asymptotic multicell MIMO capacity with linear MMSE MUD preprocessing is also derived, and this analysis agrees well with the simulation results.}},
  author       = {{Dai, HY and Molisch, Andreas and Poor, HV}},
  issn         = {{1536-1276}},
  keywords     = {{multiuser detection; multiple-output (MIMO) systems; multiple-input; co-channel interference; adaptive detection; BLAST; turbo processing}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{442--453}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Wireless Communications}},
  title        = {{Downlink capacity of interference-limited MIMO systems with joint detection}},
  url          = {{http://dx.doi.org/10.1109/TWC.2003.821168}},
  doi          = {{10.1109/TWC.2003.821168}},
  volume       = {{3}},
  year         = {{2004}},
}