Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 56, Issue 10, Pages 4827-4842Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2010.2059730
Keywords
Multiple-input multiple-output (MIMO) communication; soft-input soft-output (SISO) detection; sphere decoding; iterative MIMO decoding
Funding
- STREP within European Commission [IST-026905]
- Swiss Innovation Promotion Agency (KTI/CTI) [9268.1 PFNM-NM]
Ask authors/readers for more resources
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 sphere-decoding algorithm, based on the single tree-search paradigm proposed originally for soft-output MIMO detection in Studer et al. (Soft-output sphere decoding: Algorithms and VLSI implementation, IEEE J. Sel. Areas Commun., vol. 26, no. 2, pp. 290-300, Feb. 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 sub-optimal detectors-which (often significantly) improves detection performance at low additional computational complexity.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available