Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping
Abstract
A-posteriori probability (APP) receivers operating over multiple-input, multiple-output channels provide enhanced bit error rate (BER) performance at the cost of increased complexity. However, employing full APP processing over favorable transmission environments, where less efficient approaches may already provide the required performance at a reduced complexity, results in unnecessary processing. For slowly varying channel statistics substantial complexity savings can be achieved by simple adaptive schemes. Such schemes track the BER performance and adjust the complexity of the soft output sphere decoder by adaptively setting the related log-likelihood ratio (LLR) clipping value.
Cite
@article{arxiv.1011.2113,
title = {Complexity Adjusted Soft-Output Sphere Decoding by Adaptive LLR Clipping},
author = {Konstantinos Nikitopoulos and Gerd Ascheid},
journal= {arXiv preprint arXiv:1011.2113},
year = {2012}
}
Comments
The final version of this paper appears in IEEE Communications Letters