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A Cholesky decomposition based massive MIMO uplink detector with adaptive interpolation

Gangarajaiah, Rakesh LU ; Prabhu, Hemanth LU ; Edfors, Ove LU and Liu, Liang LU (2017) 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 In IEEE International Symposium on Circuits and Systems
Abstract

An adaptive uplink detection scheme for a Massive MIMO (MaMi) base station serving up to 16 users is presented. Considering user distribution in a cell, selective matched filtering (MF) is proposed for non-interference limited users and a Cholesky decomposition (CD) based zero-forcing (ZF) detector is implemented for the remaining users. Channel conditions such as coherence bandwidth are exploited to lower computational complexity by interpolating CD outputs. Performance evaluations on measured MaMi channels indicate a reduction in computation count by 60 times with a less than 1 dB loss at an uncoded bit error rate of 10-3. For the CD, a reconfigurable processor optimized for 8×8 matrices with block decomposition extension to support... (More)

An adaptive uplink detection scheme for a Massive MIMO (MaMi) base station serving up to 16 users is presented. Considering user distribution in a cell, selective matched filtering (MF) is proposed for non-interference limited users and a Cholesky decomposition (CD) based zero-forcing (ZF) detector is implemented for the remaining users. Channel conditions such as coherence bandwidth are exploited to lower computational complexity by interpolating CD outputs. Performance evaluations on measured MaMi channels indicate a reduction in computation count by 60 times with a less than 1 dB loss at an uncoded bit error rate of 10-3. For the CD, a reconfigurable processor optimized for 8×8 matrices with block decomposition extension to support up to 16×16 matrices is presented. Circuit level optimizations in 28 nm FD-SOI resulted in an energy of 1.4 nJ/CD at 400 MHz, and post-layout simulations indicate a 50% reduction in power dissipation when operating with the proposed interpolation based detection scheme compared to traditional ZF detection.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
IEEE International Symposium on Circuits and Systems
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
external identifiers
  • scopus:85032665030
ISBN
9781467368520
DOI
10.1109/ISCAS.2017.8050312
language
English
LU publication?
yes
id
6cdc4533-8547-4116-b492-6b495a63d765
date added to LUP
2017-11-15 08:31:04
date last changed
2018-03-12 18:00:32
@inproceedings{6cdc4533-8547-4116-b492-6b495a63d765,
  abstract     = {<p>An adaptive uplink detection scheme for a Massive MIMO (MaMi) base station serving up to 16 users is presented. Considering user distribution in a cell, selective matched filtering (MF) is proposed for non-interference limited users and a Cholesky decomposition (CD) based zero-forcing (ZF) detector is implemented for the remaining users. Channel conditions such as coherence bandwidth are exploited to lower computational complexity by interpolating CD outputs. Performance evaluations on measured MaMi channels indicate a reduction in computation count by 60 times with a less than 1 dB loss at an uncoded bit error rate of 10-3. For the CD, a reconfigurable processor optimized for 8×8 matrices with block decomposition extension to support up to 16×16 matrices is presented. Circuit level optimizations in 28 nm FD-SOI resulted in an energy of 1.4 nJ/CD at 400 MHz, and post-layout simulations indicate a 50% reduction in power dissipation when operating with the proposed interpolation based detection scheme compared to traditional ZF detection.</p>},
  author       = {Gangarajaiah, Rakesh and Prabhu, Hemanth and Edfors, Ove and Liu, Liang},
  booktitle    = {IEEE International Symposium on Circuits and Systems},
  isbn         = {9781467368520},
  language     = {eng},
  month        = {09},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {A Cholesky decomposition based massive MIMO uplink detector with adaptive interpolation},
  url          = {http://dx.doi.org/10.1109/ISCAS.2017.8050312},
  year         = {2017},
}