TY - JOUR
T1 - Architectural optimizations for low-power K-best MIMO decoders
AU - Mondal, Sudip
AU - Eltawil, Ahmed M.
AU - Salama, Khaled N.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Manuscript received January 29, 2009. First published March 16, 2009; current version published August 14, 2009. This work was supported in part by the Center for Automation Technologies and Systems under a block grant from the New York State Foundation for Science, Technology, and Innovation and Grant 2006-IJ-CX-K044 from the National Institute of Justice under the Department of Justice. The review of this paper was coordinated by Dr. H. H. Nguyen.
PY - 2009/9
Y1 - 2009/9
N2 - Maximum-likelihood (ML) detection for higher order multiple-input-multiple-output (MIMO) systems faces a major challenge in computational complexity. This limits the practicality of these systems from an implementation point of view, particularly for mobile battery-operated devices. In this paper, we propose a modified approach for MIMO detection, which takes advantage of the quadratic-amplitude modulation (QAM) constellation structure to accelerate the detection procedure. This approach achieves low-power operation by extending the minimum number of paths and reducing the number of required computations for each path extension, which results in an order-of-magnitude reduction in computations in comparison with existing algorithms. This paper also describes the very-large-scale integration (VLSI) design of the low-power path metric computation unit. The approach is applied to a 4 × 4, 64-QAM MIMO detector system. Results show negligible performance degradation compared with conventional algorithms while reducing the complexity by more than 50%. © 2009 IEEE.
AB - Maximum-likelihood (ML) detection for higher order multiple-input-multiple-output (MIMO) systems faces a major challenge in computational complexity. This limits the practicality of these systems from an implementation point of view, particularly for mobile battery-operated devices. In this paper, we propose a modified approach for MIMO detection, which takes advantage of the quadratic-amplitude modulation (QAM) constellation structure to accelerate the detection procedure. This approach achieves low-power operation by extending the minimum number of paths and reducing the number of required computations for each path extension, which results in an order-of-magnitude reduction in computations in comparison with existing algorithms. This paper also describes the very-large-scale integration (VLSI) design of the low-power path metric computation unit. The approach is applied to a 4 × 4, 64-QAM MIMO detector system. Results show negligible performance degradation compared with conventional algorithms while reducing the complexity by more than 50%. © 2009 IEEE.
UR - http://hdl.handle.net/10754/561423
UR - http://ieeexplore.ieee.org/document/4801670/
UR - http://www.scopus.com/inward/record.url?scp=69549135447&partnerID=8YFLogxK
U2 - 10.1109/TVT.2009.2017548
DO - 10.1109/TVT.2009.2017548
M3 - Article
SN - 0018-9545
VL - 58
SP - 3145
EP - 3153
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
ER -