Adaptive MIMO detector using reduced search space and its error rate estimator in ultra dense network

I. Wei Lai, Jie Ming Wang, Jhih Wei Shih, Tzi Dar Chiueh

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this paper, we analyzed the error rate of the sphere decoders with reduced search space (SD-RSS) and proposed a formula for estimating their error rate. With the instantaneous error rate information, an adaptive SD-RSSwas designed that could adjust the search space on-the-fly to minimize the complexity while meeting the error rate requirement specified by the standard. We focused on the ultradense network with severe inter-cell interference, which increases the detection complexity and complicates the error rate analysis. The accuracy of the error rate performance estimation was demonstrated by several simulations, and one numerical example was presented to show that the proposed adaptive SD-RSS can significantly reduce its average computational complexity while meeting the LTE block error rate requirement.

Original languageEnglish
Article number8590707
Pages (from-to)6774-6781
Number of pages8
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 2019 Jan 1

Keywords

  • Adaptive receiver
  • error rate analysis
  • multiple-input multiple-output (MIMO)
  • sphere decoder

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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