Abstract
This paper presents a low-complexity channel-adaptive reconfigurable 4 × 4 QR-decomposition and M-algorithmbased maximum likelihood detection (QRM-MLD) multiple-input and multiple-output (MIMO) detector. Two novel design approaches for low-power QRM-MLD hardware are proposed in this work. First, an approximate survivor metric (ASM) generation technique is presented to achieve considerable computational complexity reduction with minor BER degradation. A reconfigurable QRM-MLD MIMO detector (where the M-value represents the number of survival branches in a stage) for dynamically adapting to time-varying channels is also proposed in this work. The proposed reconfigurable QRM-MLD MIMO detector is implemented using a Samsung 65 nm CMOS process. The experimental results show that our ASM-based QRM-MLD MIMO detector shows a maximum throughput of 288 Mbps with a normalized power efficiency of 10.18 Mbps/mW in the case of 4 × 4 MIMO with 64-QAM. Under time-varying channel conditions, the proposed reconfigurable MIMO detector also achieves average power savings of up to 35% while maintaining a required BER performance.
| Original language | English |
|---|---|
| Pages (from-to) | 100-111 |
| Number of pages | 12 |
| Journal | ETRI Journal |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 Feb 1 |
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Keywords
- Maximum likelihood detection
- MIMO detection
- QRM-MLD
- Reconfigurable architecture
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science(all)
- Electronic, Optical and Magnetic Materials
Cite this
Low-power channel-adaptive reconfigurable 4×4 QRM-MLD MIMO detector. / Kurniawan, Iput Heri; Yoon, Ji Hwan; Kim, Jong-Kook; Park, Jongsun.
In: ETRI Journal, Vol. 38, No. 1, 01.02.2016, p. 100-111.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Low-power channel-adaptive reconfigurable 4×4 QRM-MLD MIMO detector
AU - Kurniawan, Iput Heri
AU - Yoon, Ji Hwan
AU - Kim, Jong-Kook
AU - Park, Jongsun
PY - 2016/2/1
Y1 - 2016/2/1
N2 - This paper presents a low-complexity channel-adaptive reconfigurable 4 × 4 QR-decomposition and M-algorithmbased maximum likelihood detection (QRM-MLD) multiple-input and multiple-output (MIMO) detector. Two novel design approaches for low-power QRM-MLD hardware are proposed in this work. First, an approximate survivor metric (ASM) generation technique is presented to achieve considerable computational complexity reduction with minor BER degradation. A reconfigurable QRM-MLD MIMO detector (where the M-value represents the number of survival branches in a stage) for dynamically adapting to time-varying channels is also proposed in this work. The proposed reconfigurable QRM-MLD MIMO detector is implemented using a Samsung 65 nm CMOS process. The experimental results show that our ASM-based QRM-MLD MIMO detector shows a maximum throughput of 288 Mbps with a normalized power efficiency of 10.18 Mbps/mW in the case of 4 × 4 MIMO with 64-QAM. Under time-varying channel conditions, the proposed reconfigurable MIMO detector also achieves average power savings of up to 35% while maintaining a required BER performance.
AB - This paper presents a low-complexity channel-adaptive reconfigurable 4 × 4 QR-decomposition and M-algorithmbased maximum likelihood detection (QRM-MLD) multiple-input and multiple-output (MIMO) detector. Two novel design approaches for low-power QRM-MLD hardware are proposed in this work. First, an approximate survivor metric (ASM) generation technique is presented to achieve considerable computational complexity reduction with minor BER degradation. A reconfigurable QRM-MLD MIMO detector (where the M-value represents the number of survival branches in a stage) for dynamically adapting to time-varying channels is also proposed in this work. The proposed reconfigurable QRM-MLD MIMO detector is implemented using a Samsung 65 nm CMOS process. The experimental results show that our ASM-based QRM-MLD MIMO detector shows a maximum throughput of 288 Mbps with a normalized power efficiency of 10.18 Mbps/mW in the case of 4 × 4 MIMO with 64-QAM. Under time-varying channel conditions, the proposed reconfigurable MIMO detector also achieves average power savings of up to 35% while maintaining a required BER performance.
KW - Maximum likelihood detection
KW - MIMO detection
KW - QRM-MLD
KW - Reconfigurable architecture
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UR - http://www.scopus.com/inward/citedby.url?scp=84964957785&partnerID=8YFLogxK
U2 - 10.4218/etrij.16.0115.0176
DO - 10.4218/etrij.16.0115.0176
M3 - Article
AN - SCOPUS:84964957785
VL - 38
SP - 100
EP - 111
JO - ETRI Journal
JF - ETRI Journal
SN - 1225-6463
IS - 1
ER -