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
- 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.
(Less)
- author
- Gangarajaiah, Rakesh
LU
; Prabhu, Hemanth
LU
; Edfors, Ove
LU
and Liu, Liang
LU
- organization
- publishing date
- 2017-09-25
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IEEE International Symposium on Circuits and Systems : From Dreams to Innovation, ISCAS 2017 - Conference Proceedings - From Dreams to Innovation, ISCAS 2017 - Conference Proceedings
- article number
- 8050312
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
- conference location
- Baltimore, United States
- conference dates
- 2017-05-28 - 2017-05-31
- 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
- 2024-03-18 00:29:10
@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 : From Dreams to Innovation, ISCAS 2017 - Conference Proceedings}},
isbn = {{9781467368520}},
language = {{eng}},
month = {{09}},
publisher = {{IEEE - 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}},
doi = {{10.1109/ISCAS.2017.8050312}},
year = {{2017}},
}