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MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems
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- Authors
- Bing Hui, Manar Mohaisen, Dongkeol Han, KyungHi Chang, YoungSeok Baek, Bontae Koo
- Issue Date
- 2012-12
- Citation
- Wireless Personal Communications, v.67, no.3, pp.505-523
- ISSN
- 0929-6212
- Publisher
- Springer
- Language
- English
- Type
- Journal Article
- 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 conventionalMIMO detection algorithms. Furthermore, practical channel estimation techniques are employed, and the system performances are thoroughly analyzed and discussed. © Springer Science+Business Media, LLC. 2011.
- KSP Keywords
- 3GPP LTE systems, Channel estimation(CE), Computational complexity, Detection algorithm, Error rate performance, Estimation Technique, LTE downlink, M-algorithm, MIMO detection, Multiple input multiple output(MIMO), Packet error rate