Abstract
In this paper, we propose a low-complexity lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) detectors with tree searching. Whereas conventional approaches are based exclusively on channel characteristics, we focus on joint optimisation by employing an early termination criterion in the context of MIMO detection. In this regard, incremental LR (ILR) was previously proposed. However, the ILR is limited to LR-aided successive interference cancellation (SIC) detectors which have considerable bit-error-rate (BER) performance degradation compared to optimal detectors. Hence, in this paper, we extend the conventional ILR to be applicable to the LR-aided detectors with near-optimal performance. Furthermore, we perform the hypothetical analysis and several novel modifications to handle the obstacles for the application of the ILR to LR-aided detectors other than the LR-aided SIC detectors. The simulation results demonstrate that the computational complexity is considerably reduced, with BER performance degradation of 10−5.
| Original language | English |
|---|---|
| Article number | 17 |
| Journal | Eurasip Journal on Wireless Communications and Networking |
| Volume | 2017 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Science Applications
- Computer Networks and Communications
Cite this
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Low-complexity lattice reduction algorithm for MIMO detectors with tree searching. / Kim, Hyunsub; Lee, Hyukyeon; Koo, Jihye; Kim, Jaeseok.
In: Eurasip Journal on Wireless Communications and Networking, Vol. 2017, No. 1, 17, 01.12.2017.Research output: Contribution to journal › Article
TY - JOUR
T1 - Low-complexity lattice reduction algorithm for MIMO detectors with tree searching
AU - Kim, Hyunsub
AU - Lee, Hyukyeon
AU - Koo, Jihye
AU - Kim, Jaeseok
PY - 2017/12/1
Y1 - 2017/12/1
N2 - In this paper, we propose a low-complexity lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) detectors with tree searching. Whereas conventional approaches are based exclusively on channel characteristics, we focus on joint optimisation by employing an early termination criterion in the context of MIMO detection. In this regard, incremental LR (ILR) was previously proposed. However, the ILR is limited to LR-aided successive interference cancellation (SIC) detectors which have considerable bit-error-rate (BER) performance degradation compared to optimal detectors. Hence, in this paper, we extend the conventional ILR to be applicable to the LR-aided detectors with near-optimal performance. Furthermore, we perform the hypothetical analysis and several novel modifications to handle the obstacles for the application of the ILR to LR-aided detectors other than the LR-aided SIC detectors. The simulation results demonstrate that the computational complexity is considerably reduced, with BER performance degradation of 10−5.
AB - In this paper, we propose a low-complexity lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) detectors with tree searching. Whereas conventional approaches are based exclusively on channel characteristics, we focus on joint optimisation by employing an early termination criterion in the context of MIMO detection. In this regard, incremental LR (ILR) was previously proposed. However, the ILR is limited to LR-aided successive interference cancellation (SIC) detectors which have considerable bit-error-rate (BER) performance degradation compared to optimal detectors. Hence, in this paper, we extend the conventional ILR to be applicable to the LR-aided detectors with near-optimal performance. Furthermore, we perform the hypothetical analysis and several novel modifications to handle the obstacles for the application of the ILR to LR-aided detectors other than the LR-aided SIC detectors. The simulation results demonstrate that the computational complexity is considerably reduced, with BER performance degradation of 10−5.
UR - http://www.scopus.com/inward/record.url?scp=85010060549&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010060549&partnerID=8YFLogxK
U2 - 10.1186/s13638-016-0756-4
DO - 10.1186/s13638-016-0756-4
M3 - Article
VL - 2017
JO - Eurasip Journal on Wireless Communications and Networking
JF - Eurasip Journal on Wireless Communications and Networking
SN - 1687-1472
IS - 1
M1 - 17
ER -