Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

A 1.8Gb/s 70.6pJ/b 128×16 link-adaptive near-optimal massive MIMO detector in 28nm UTBB-FDSOI

Tang, Wei LU ; Prabhu, Hemanth LU ; Liu, Liang LU orcid ; Öwall, Viktor LU and Zhang, Zhengya (2018) 65th IEEE International Solid-State Circuits Conference, ISSCC 2018 61. p.224-226
Abstract

This work presents a 2.0mm2 128×16 massive MIMO detector IC that provides 21dB array gain and 16x multiplexing gain at the system level. The detector implements iterative expectation-propagation detection (EPD) for up to 256-QAM modulation. Tested with measured channel data [1], the detector achieves 4.3dB processing gain over state-of-the-art massive MlMo detectors [2, 3], enabling 2.7x reduction in transmit power for battery-powered mobile terminals. The iC uses link-adaptive processing to meet a variety of practical channel conditions with scalable energy consumption. The design is realized in a condensed systolic array architecture and an approximate moment-matching circuitry to reach 1.8Gb/s at 70.6pJ/b. The performance... (More)

This work presents a 2.0mm2 128×16 massive MIMO detector IC that provides 21dB array gain and 16x multiplexing gain at the system level. The detector implements iterative expectation-propagation detection (EPD) for up to 256-QAM modulation. Tested with measured channel data [1], the detector achieves 4.3dB processing gain over state-of-the-art massive MlMo detectors [2, 3], enabling 2.7x reduction in transmit power for battery-powered mobile terminals. The iC uses link-adaptive processing to meet a variety of practical channel conditions with scalable energy consumption. The design is realized in a condensed systolic array architecture and an approximate moment-matching circuitry to reach 1.8Gb/s at 70.6pJ/b. The performance and energy efficiency can be tuned over a wide range by UTBB-FDSOI body bias.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE International Solid-State Circuits Conference, ISSCC 2018
volume
61
pages
3 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
65th IEEE International Solid-State Circuits Conference, ISSCC 2018
conference location
San Francisco, United States
conference dates
2018-02-11 - 2018-02-15
external identifiers
  • scopus:85046434545
ISBN
978-1-5090-4940-0
978-1-5386-2227-8
DOI
10.1109/ISSCC.2018.8310265
language
English
LU publication?
yes
id
66b887c3-6cac-4935-a246-6d3b86b93d19
date added to LUP
2018-05-17 15:45:43
date last changed
2024-09-16 21:47:03
@inproceedings{66b887c3-6cac-4935-a246-6d3b86b93d19,
  abstract     = {{<p>This work presents a 2.0mm<sup>2</sup> 128×16 massive MIMO detector IC that provides 21dB array gain and 16x multiplexing gain at the system level. The detector implements iterative expectation-propagation detection (EPD) for up to 256-QAM modulation. Tested with measured channel data [1], the detector achieves 4.3dB processing gain over state-of-the-art massive MlMo detectors [2, 3], enabling 2.7x reduction in transmit power for battery-powered mobile terminals. The iC uses link-adaptive processing to meet a variety of practical channel conditions with scalable energy consumption. The design is realized in a condensed systolic array architecture and an approximate moment-matching circuitry to reach 1.8Gb/s at 70.6pJ/b. The performance and energy efficiency can be tuned over a wide range by UTBB-FDSOI body bias.</p>}},
  author       = {{Tang, Wei and Prabhu, Hemanth and Liu, Liang and Öwall, Viktor and Zhang, Zhengya}},
  booktitle    = {{2018 IEEE International Solid-State Circuits Conference, ISSCC 2018}},
  isbn         = {{978-1-5090-4940-0}},
  language     = {{eng}},
  month        = {{03}},
  pages        = {{224--226}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{A 1.8Gb/s 70.6pJ/b 128×16 link-adaptive near-optimal massive MIMO detector in 28nm UTBB-FDSOI}},
  url          = {{http://dx.doi.org/10.1109/ISSCC.2018.8310265}},
  doi          = {{10.1109/ISSCC.2018.8310265}},
  volume       = {{61}},
  year         = {{2018}},
}