Reduced-complexity mimo detector with close-to ml error rate performance
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ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
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EURASIP Journal on Embedded Systems
EURASIP Journal on Wireless Communications and Networking
Optimizing near-ML MIMO detector for SDR baseband on parallel programmable architectures
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Array like runtime reconfigurable MIMO detectors for 802.11n WLAN: a design case study
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
High throughput VLSI architecture for soft-output mimo detection based on a greedy graph algorithm
Proceedings of the 19th ACM Great Lakes symposium on VLSI
High-throughput low-complexity MIMO detector based on K-best algorithm
Proceedings of the 19th ACM Great Lakes symposium on VLSI
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Reduced complexity sphere decoding via a reordered lattice representation
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IEEE Transactions on Circuits and Systems Part I: Regular Papers
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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ICC'09 Proceedings of the 2009 IEEE international conference on Communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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IEEE Transactions on Signal Processing
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IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special issue on ISCAS 2009
An adaptive reduced complexity K-best decoding algorithm with early termination
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
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Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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IEEE Transactions on Circuits and Systems Part I: Regular Papers
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IEEE Transactions on Wireless Communications
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IEEE Transactions on Circuits and Systems II: Express Briefs
Small-area and low-energy K-best MIMO detector using relaxed tree expansion and early forwarding
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2009 IEEE custom integrated circuits conference
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IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Wireless Personal Communications: An International Journal
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K-best Schnorr-Euchner (KSE) decoding algorithm is proposed in this paper to approach near-maximum-likelihood (ML) performance for multiple-input-multiple-output (MIMO) detection. As a low complexity MIMO decoding algorithm, the KSE is shown to be suitable for very large scale integration (VLSI) implementations and be capable of supporting soft outputs. Modified KSE (MKSE) decoding algorithm is further proposed to improve the performance of the soft-output KSE with minor modifications. Moreover, a VLSI architecture is proposed for both algorithms. There are several low complexity and low-power features incorporated in the proposed algorithms and the VLSI architecture. The proposed hard-output KSE decoder and the soft-output MKSE decoder is implemented for 4×4 16-quadrature amplitude modulation (QAM) MIMO detection in a 0.35-μm and a 0.13-μm CMOS technology, respectively. The implemented hard-output KSE chip core is 5.76 mm2 with 91 K gates. The KSE decoding throughput is up to 53.3 Mb/s with a core power consumption of 626 mW at 100 MHz clock frequency and 2.8 V supply. The implemented soft-output MKSE chip can achieve a decoding throughput of more than 100 Mb/s with a 0.56 mm2 core area and 97 K gates. The implementation results show that it is feasible to achieve near-ML performance and high detection throughput for a 4×4 16-QAM MIMO system using the proposed algorithms and the VLSI architecture with reasonable complexity.