Notice of Violation of IEEE Publication Principles: Multi-level SINR thresholding for reduced complexity MIMO detection

Notice of Violation of IEEE Publication Principles

"Multi-level SINR thresholding for reduced complexity MIMO detection,"
by A. K. Sinha, M. Agarwal and A. K. Chaturvedi,
in the Proceedings of the National Conference on Communications (NCC), New Delhi, India, 2013

After careful and considered review of the content and authorship of this article by a duly constituted expert committee, this article has been found to be in violation of IEEE’s Publication Principles.

This article contains portions of text from the article(s) cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified.

"Reduced Complexity MIMO Detection Scheme Using Statistical Search Space Reduction,"
by R. H. Chen and W. -H. Chung,
in IEEE Communications Letters, vol. 16, no. 3, pp. 292-295, March 2012


In previous research works, it was established that the post-processing signal-to-interference-and-noise ratio (SINR) distribution of MMSE (Minimum Mean Square Error) detector shows the potential of high reliability in the high-SINR detected symbols. In this paper, a new algorithm with reduced complexity is proposed exploiting the fact that reliability of MMSE estimated symbols increases with increase in post-processing SINR. For high SINR region, MMSE estimated symbols are retained as the final decisions and the remaining symbols are grouped into different regions based on the SINR. Based on the group in which the symbols lie, we restrict the search space and feed it into SD (Sphere Decoder). A SD-SE (Schnorr-Euchner) implementation of SD algorithm is used for comparison of results.