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Low‐Power Channel‐Adaptive Reconfigurable 4×4 QRM‐MLD MIMO Detector
Author(s) -
Kurniawan Iput Heri,
Yoon JiHwan,
Kim JongKook,
Park Jongsun
Publication year - 2016
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.16.0115.0176
Subject(s) - mimo , detector , throughput , channel (broadcasting) , computer science , electronic engineering , qr decomposition , lattice reduction , quadrature amplitude modulation , power (physics) , 3g mimo , algorithm , real time computing , engineering , bit error rate , telecommunications , wireless , physics , eigenvalues and eigenvectors , quantum mechanics
This paper presents a low‐complexity channel‐adaptive reconfigurable 4 × 4 QR‐decomposition and M ‐algorithm‐based 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.

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