Low complexity likelihood information generation for spatial-multiplexing MIMO signal detection
(2012) In IEEE Transactions on Vehicular Technology 61(2). p.607-617- Abstract
- Abstract in Undetermined
Signal detection algorithms providing likelihood information
for coded spatial-multiplexing multiple-input multipleoutput
(MIMO) wireless communication system pose a critical
design challenge due to their prohibitively high computational
complexity. In this paper, we present a low-complexity soft-output
detection algorithm by adopting four implementation-friendly
algorithm-level improvements to the fixed-complexity sphere
decoder (FSD). More specifically, we introduce a reliabilitydependent
tree expansion approach and an on-demand listsize
reduction scheme for low-cost candidate list generation.
In terms of performance improvement, we apply an early... (More) - Abstract in Undetermined
Signal detection algorithms providing likelihood information
for coded spatial-multiplexing multiple-input multipleoutput
(MIMO) wireless communication system pose a critical
design challenge due to their prohibitively high computational
complexity. In this paper, we present a low-complexity soft-output
detection algorithm by adopting four implementation-friendly
algorithm-level improvements to the fixed-complexity sphere
decoder (FSD). More specifically, we introduce a reliabilitydependent
tree expansion approach and an on-demand listsize
reduction scheme for low-cost candidate list generation.
In terms of performance improvement, we apply an early bitflipping
strategy and utilize the l1-norm distance representation.
The algorithm is evaluated by computer simulations performed
over Rayleigh flat fading channels and computational complexity
analysis. Compared to the soft-output K-Best algorithm, the
proposed algorithm saves at least 60% of the computations for
detecting 4 x 4 64-QAM MIMO signal, and at the same time,
provides better detection performance, making it a promising
detection scheme for real-life hardware implementation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2276789
- author
- Liu, Liang LU ; Löfgren, Johan LU and Nilsson, Peter LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- soft-output, Terms—Multiple-input multiple-output (MIMO) detection, spatial-multiplexing (SM), log likelihood ratio (LLR), fixed-complexity sphere decoder (FSD).
- in
- IEEE Transactions on Vehicular Technology
- volume
- 61
- issue
- 2
- pages
- 607 - 617
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000300427400016
- scopus:84863145952
- ISSN
- 1939-9359
- DOI
- 10.1109/TVT.2011.2180408
- language
- English
- LU publication?
- yes
- id
- e7940407-f65f-4d0c-b41d-ac9d4423a659 (old id 2276789)
- date added to LUP
- 2016-04-01 09:50:00
- date last changed
- 2024-01-06 01:05:32
@article{e7940407-f65f-4d0c-b41d-ac9d4423a659, abstract = {{Abstract in Undetermined<br/>Signal detection algorithms providing likelihood information<br/>for coded spatial-multiplexing multiple-input multipleoutput<br/>(MIMO) wireless communication system pose a critical<br/>design challenge due to their prohibitively high computational<br/>complexity. In this paper, we present a low-complexity soft-output<br/>detection algorithm by adopting four implementation-friendly<br/>algorithm-level improvements to the fixed-complexity sphere<br/>decoder (FSD). More specifically, we introduce a reliabilitydependent<br/>tree expansion approach and an on-demand listsize<br/>reduction scheme for low-cost candidate list generation.<br/>In terms of performance improvement, we apply an early bitflipping<br/>strategy and utilize the l1-norm distance representation.<br/>The algorithm is evaluated by computer simulations performed<br/>over Rayleigh flat fading channels and computational complexity<br/>analysis. Compared to the soft-output K-Best algorithm, the<br/>proposed algorithm saves at least 60% of the computations for<br/>detecting 4 x 4 64-QAM MIMO signal, and at the same time,<br/>provides better detection performance, making it a promising<br/>detection scheme for real-life hardware implementation.}}, author = {{Liu, Liang and Löfgren, Johan and Nilsson, Peter}}, issn = {{1939-9359}}, keywords = {{soft-output; Terms—Multiple-input multiple-output (MIMO) detection; spatial-multiplexing (SM); log likelihood ratio (LLR); fixed-complexity sphere decoder (FSD).}}, language = {{eng}}, number = {{2}}, pages = {{607--617}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Vehicular Technology}}, title = {{Low complexity likelihood information generation for spatial-multiplexing MIMO signal detection}}, url = {{http://dx.doi.org/10.1109/TVT.2011.2180408}}, doi = {{10.1109/TVT.2011.2180408}}, volume = {{61}}, year = {{2012}}, }