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A Highly Parallelized MIMO Detector for Vector-Based Reconfigurable Architectures

Zhang, Chenxin LU ; Liu, Liang LU ; Wang, Yian; Zhu, Meifang LU ; Edfors, Ove LU and Öwall, Viktor LU (2013) IEEE Wireless Communications and Networking Conference (WCNC), 2013 In [Host publication title missing] p.3844-3849
Abstract
This paper presents a highly parallelized MIMO signal detection algorithm targeting vector-based reconfigurable architectures. The detector achieves high data-level parallelism and near-ML performance by adopting a vector-architecture-friendly technique - parallel node perturbation. To further reduce the computational complexity, imbalanced node and successive partial node expansion schemes in conjunction with sorted QR decomposition are applied. The effectiveness of the proposed algorithm is evaluated by simulations performed on a simplified 4x4 MIMO LTE-A testbed and operation analysis. Compared to the K-Best detector and fixed-complexity sphere decoder (FSD), the number of visited nodes in the proposed algorithm is reduced by 15 and 1.9... (More)
This paper presents a highly parallelized MIMO signal detection algorithm targeting vector-based reconfigurable architectures. The detector achieves high data-level parallelism and near-ML performance by adopting a vector-architecture-friendly technique - parallel node perturbation. To further reduce the computational complexity, imbalanced node and successive partial node expansion schemes in conjunction with sorted QR decomposition are applied. The effectiveness of the proposed algorithm is evaluated by simulations performed on a simplified 4x4 MIMO LTE-A testbed and operation analysis. Compared to the K-Best detector and fixed-complexity sphere decoder (FSD), the number of visited nodes in the proposed algorithm is reduced by 15 and 1.9 times respectively, with less than 1dB performance degradation. Benefiting from the fully deterministic non-iterative dataflow structure, reconfiguration rate is 95% less than that of the K-Best detector and 17% less than the case of FSD. (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
MIMO, signal detection, vector processor, data parallelization
in
[Host publication title missing]
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Wireless Communications and Networking Conference (WCNC), 2013
external identifiers
  • wos:000326048103162
  • scopus:84881591038
DOI
10.1109/WCNC.2013.6555188
project
HiPEC
EIT_SOS VINNOVA Industrial Excellence Center - System Design on Silicon
language
English
LU publication?
yes
id
5ec50c19-8da4-48d2-bb62-a716ee62ef5a (old id 3438121)
alternative location
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6555188&tag=1
date added to LUP
2013-02-04 12:11:17
date last changed
2017-01-01 07:56:59
@inproceedings{5ec50c19-8da4-48d2-bb62-a716ee62ef5a,
  abstract     = {This paper presents a highly parallelized MIMO signal detection algorithm targeting vector-based reconfigurable architectures. The detector achieves high data-level parallelism and near-ML performance by adopting a vector-architecture-friendly technique - parallel node perturbation. To further reduce the computational complexity, imbalanced node and successive partial node expansion schemes in conjunction with sorted QR decomposition are applied. The effectiveness of the proposed algorithm is evaluated by simulations performed on a simplified 4x4 MIMO LTE-A testbed and operation analysis. Compared to the K-Best detector and fixed-complexity sphere decoder (FSD), the number of visited nodes in the proposed algorithm is reduced by 15 and 1.9 times respectively, with less than 1dB performance degradation. Benefiting from the fully deterministic non-iterative dataflow structure, reconfiguration rate is 95% less than that of the K-Best detector and 17% less than the case of FSD.},
  author       = {Zhang, Chenxin and Liu, Liang and Wang, Yian and Zhu, Meifang and Edfors, Ove and Öwall, Viktor},
  booktitle    = {[Host publication title missing]},
  keyword      = {MIMO,signal detection,vector processor,data parallelization},
  language     = {eng},
  pages        = {3844--3849},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {A Highly Parallelized MIMO Detector for Vector-Based Reconfigurable Architectures},
  url          = {http://dx.doi.org/10.1109/WCNC.2013.6555188},
  year         = {2013},
}