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A Heterogeneous Reconfigurable Cell Array for MIMO Signal Processing

Zhang, Chenxin LU ; Liu, Liang LU orcid ; Markovic, Dejan and Öwall, Viktor LU (2015) In IEEE Transactions on Circuits and Systems Part 1: Regular Papers 62(3). p.733-742
Abstract
This paper presents a heterogeneous reconfigurable cell array, designed for high-throughput baseband processing of multiple-input multiple-output (MIMO) systems. To achieve high performance and energy efficiency while retaining high flexibility, the proposed architecture adopts heterogeneous and hierarchical resource deployments. Additionally, extensive vector computation enhancements and flexible memory access schemes are employed to better support MIMO signal processing. Implemented in a 65 nm CMOS technology, the cell array occupies 8.88 ${rm mm}^{2}$ core area and is capable of running at 500 MHz. For illustration, three computationally intensive blocks, namely channel estimation, channel matrix pre-processing, and hard-output data... (More)
This paper presents a heterogeneous reconfigurable cell array, designed for high-throughput baseband processing of multiple-input multiple-output (MIMO) systems. To achieve high performance and energy efficiency while retaining high flexibility, the proposed architecture adopts heterogeneous and hierarchical resource deployments. Additionally, extensive vector computation enhancements and flexible memory access schemes are employed to better support MIMO signal processing. Implemented in a 65 nm CMOS technology, the cell array occupies 8.88 ${rm mm}^{2}$ core area and is capable of running at 500 MHz. For illustration, three computationally intensive blocks, namely channel estimation, channel matrix pre-processing, and hard-output data detection, of a 4 $times$ 4 MIMO processing chain in a 20 MHz 64-QAM 3GPP long term evolution advanced (LTE-A) downlink are mapped and processed in real-time. Implementation results report a maximum throughput of 367.88 Mb/s with 1.49 nJ/b energy consumption. Compared to state-of-the-art designs, the proposed solution outperforms programmable platforms by several orders of magnitude in energy efficiency, and achieves similar level of efficiency to that of ASICs. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Circuits and Systems Part 1: Regular Papers
volume
62
issue
3
pages
733 - 742
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000350799100014
  • scopus:85027941542
ISSN
1549-8328
DOI
10.1109/TCSI.2014.2366812
project
EIT_SOS VINNOVA Industrial Excellence Center - System Design on Silicon
language
English
LU publication?
yes
id
68b1d3f9-5b7c-4601-97c0-442d17f34596 (old id 4857003)
date added to LUP
2016-04-01 10:20:41
date last changed
2024-01-06 14:20:48
@article{68b1d3f9-5b7c-4601-97c0-442d17f34596,
  abstract     = {{This paper presents a heterogeneous reconfigurable cell array, designed for high-throughput baseband processing of multiple-input multiple-output (MIMO) systems. To achieve high performance and energy efficiency while retaining high flexibility, the proposed architecture adopts heterogeneous and hierarchical resource deployments. Additionally, extensive vector computation enhancements and flexible memory access schemes are employed to better support MIMO signal processing. Implemented in a 65 nm CMOS technology, the cell array occupies 8.88 ${rm mm}^{2}$ core area and is capable of running at 500 MHz. For illustration, three computationally intensive blocks, namely channel estimation, channel matrix pre-processing, and hard-output data detection, of a 4 $times$ 4 MIMO processing chain in a 20 MHz 64-QAM 3GPP long term evolution advanced (LTE-A) downlink are mapped and processed in real-time. Implementation results report a maximum throughput of 367.88 Mb/s with 1.49 nJ/b energy consumption. Compared to state-of-the-art designs, the proposed solution outperforms programmable platforms by several orders of magnitude in energy efficiency, and achieves similar level of efficiency to that of ASICs.}},
  author       = {{Zhang, Chenxin and Liu, Liang and Markovic, Dejan and Öwall, Viktor}},
  issn         = {{1549-8328}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{733--742}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Circuits and Systems Part 1: Regular Papers}},
  title        = {{A Heterogeneous Reconfigurable Cell Array for MIMO Signal Processing}},
  url          = {{https://lup.lub.lu.se/search/files/1767130/5469512.pdf}},
  doi          = {{10.1109/TCSI.2014.2366812}},
  volume       = {{62}},
  year         = {{2015}},
}