Paper Info
Title
MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems.
Abstract
In this paper, two novel multiple-input multiple-output (MIMO) detection algorithms, adaptive parallel QRDM (APQRDM) and adaptive iterative QRDM (AIQRDM) which are able to achieve the similar detection throughput as conventional QRDM while reducing the computational complexity, are introduced, and the system performances are evaluated on the platform of 3GPP LTE downlink. In both 2 × 2 and 4 × 4 MIMO, APQRDM and AIQRDM algorithms can achieve almost same packet error rate performance as those of conventional QRDM algorithm, while the computational complexity is significantly reduced. Also, the receiver employing APQRDM and AIQRDM detection algorithms shows the almost same throughput as the case of conventional MIMO detection algorithms. Furthermore, practical channel estimation techniques are employed, and the system performances are thoroughly analyzed and discussed.
Year
DOI
Venue
2012
10.1007/s11277-011-0392-6
Wireless Personal Communications
Keywords
Field
DocType
3GPP LTE,OFDM,MIMO detection,APQRDM,AIQRDM
3G MIMO,Computer science,Algorithm,MIMO,Real-time computing,Throughput,QR decomposition,Orthogonal frequency-division multiplexing,Telecommunications link,Bit error rate,Computational complexity theory
Journal
Volume
Issue
ISSN
67
3
0929-6212
Citations 
PageRank 
References 
2
0.41
8
Authors
6
Name
Order
Citations
PageRank
Bing Hui16310.80
Manar Mohaisen29728.83
Dongkeol Han351.46
Kyunghi Chang420241.07
Youngseok Baek5131.46
Bontae Koo6285.78