Lattice basis reduction: improved practical algorithms and solving subset sum problems
Mathematical Programming: Series A and B
Reduced-complexity mimo detector with close-to ml error rate performance
Proceedings of the 17th ACM Great Lakes symposium on VLSI
Low power soft-output signal detector design for wireless MIMO communication systems
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Implementation of a Markov chain Monte Carlo based multiuser/MIMO detector
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Search sequence determination for tree search based detection algorithms
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Soft-input soft-output single tree-search sphere decoding
IEEE Transactions on Information Theory
Soft-output sphere decoding: algorithms and VLSI implementation
IEEE Journal on Selected Areas in Communications
Soft-input soft-output single tree-search sphere decoding
IEEE Transactions on Information Theory
VLSI Design - Special issue on Flexible Radio Design: Trends and Challenges in Digital Baseband Implementation
VLSI Architecture for MIMO Soft-Input Soft-Output Sphere Detection
Journal of Signal Processing Systems
International Journal of Reconfigurable Computing - Special issue on Selected Papers from the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2011)
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Multiple-input multiple-output (MIMO) wireless transmission imposes huge challenges on the design of efficient hardware architectures for iterative receivers. A major challenge is soft-input soft-output (SISO) MIMO demapping, often approached by sphere decoding (SD). In this brief, we introduce-to our best knowledge-the first VLSI architecture for SISO SD applying a single tree-search approach. Compared with a soft-output-only base architecture similar to the one proposed by Studer in IEEE J-SAC 2008, the architectural modifications for soft input still allow a one-node-per-cycle execution. For a 4 $times$ 4 antennas system using quadrature amplitude modulation (QAM) with order 16, the area increases by 57%, and the operating frequency degrades by 34% only.