Abstract
Link adaptation allows a communication system to adapt its transmission modes according to channel conditions. Although a maximum likelihood (ML) receiver for multiple-input multiple-output (MIMO) systems provides optimal performance, estimating its link performance has been a difficult problem. In this paper, we propose a new link performance abstraction technique for MIMO orthogonal frequency-division multiplexing systems with the ML receiver. The performance of ML detection (MLD) is estimated by employing capacity bounds of two simple linear receivers. Then, we give a simple parametrization to compute the desired per-stream signal-to-noise ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the derived per-stream SNR estimates, the block error rate is obtained using the received-bit information rate metrics. We also examine the effect of imperfect channel estimation as well as spatial correlations among antennas. Finally, extensive simulation results show that the proposed method provides superior estimation accuracy in the MIMO-MLD link evaluation with very low computational complexity.
| Original language | English |
|---|---|
| Article number | 6177980 |
| Pages (from-to) | 1808-1816 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 11 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2012 May 1 |
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Keywords
- Link adaptation
- maximum-likelihood receiver
- MIMO-OFDM
- PHY abstraction
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
Cite this
Link performance estimation techniques for MIMO-OFDM systems with maximum likelihood receiver. / Moon, Sung Hyun; Lee, Kyoung Jae; Kim, Jihoon; Lee, Inkyu.
In: IEEE Transactions on Wireless Communications, Vol. 11, No. 5, 6177980, 01.05.2012, p. 1808-1816.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Link performance estimation techniques for MIMO-OFDM systems with maximum likelihood receiver
AU - Moon, Sung Hyun
AU - Lee, Kyoung Jae
AU - Kim, Jihoon
AU - Lee, Inkyu
PY - 2012/5/1
Y1 - 2012/5/1
N2 - Link adaptation allows a communication system to adapt its transmission modes according to channel conditions. Although a maximum likelihood (ML) receiver for multiple-input multiple-output (MIMO) systems provides optimal performance, estimating its link performance has been a difficult problem. In this paper, we propose a new link performance abstraction technique for MIMO orthogonal frequency-division multiplexing systems with the ML receiver. The performance of ML detection (MLD) is estimated by employing capacity bounds of two simple linear receivers. Then, we give a simple parametrization to compute the desired per-stream signal-to-noise ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the derived per-stream SNR estimates, the block error rate is obtained using the received-bit information rate metrics. We also examine the effect of imperfect channel estimation as well as spatial correlations among antennas. Finally, extensive simulation results show that the proposed method provides superior estimation accuracy in the MIMO-MLD link evaluation with very low computational complexity.
AB - Link adaptation allows a communication system to adapt its transmission modes according to channel conditions. Although a maximum likelihood (ML) receiver for multiple-input multiple-output (MIMO) systems provides optimal performance, estimating its link performance has been a difficult problem. In this paper, we propose a new link performance abstraction technique for MIMO orthogonal frequency-division multiplexing systems with the ML receiver. The performance of ML detection (MLD) is estimated by employing capacity bounds of two simple linear receivers. Then, we give a simple parametrization to compute the desired per-stream signal-to-noise ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the derived per-stream SNR estimates, the block error rate is obtained using the received-bit information rate metrics. We also examine the effect of imperfect channel estimation as well as spatial correlations among antennas. Finally, extensive simulation results show that the proposed method provides superior estimation accuracy in the MIMO-MLD link evaluation with very low computational complexity.
KW - Link adaptation
KW - maximum-likelihood receiver
KW - MIMO-OFDM
KW - PHY abstraction
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UR - http://www.scopus.com/inward/citedby.url?scp=84861462367&partnerID=8YFLogxK
U2 - 10.1109/TWC.2012.032712.111304
DO - 10.1109/TWC.2012.032712.111304
M3 - Article
AN - SCOPUS:84861462367
VL - 11
SP - 1808
EP - 1816
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 5
M1 - 6177980
ER -