Soft-input soft-output single tree-search sphere decoding

Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for practical receiver implementations, in particular in the context of multiple-input multiple-output (MIMO) wireless communication systems. In this paper, we present a low-complexity SISO spheredecoding algorithm, based on the single tree-search paradigm proposed originally for soft-output MIMO detection in Studer et al., IEEE J-SAC, 2008. The new algorithm incorporates clipping of the extrinsic log-likelihood ratios (LLRs) into the tree-search, which results in significant complexity savings and allows to cover a large performance/complexity tradeoff region by adjusting a single parameter. Furthermore, we propose a new method for correcting approximate LLRs --resulting from suboptimal detectors-- which (often significantly) improves detection performance at low additional computational complexity.

• Type: Journal
• Year: 2010
• Where: TIT
• Authors: Christoph Studer, Helmut Bölcskei
• Keywords: Computational Complexity, Detection, Education, Soft-output Mimo Detection, TIT 2010