Ordering-and Partitioning-Aided Sphere Decoding for Generalized Spatial Modulation

Thanh Quang Tran, Shinya Sugiura, Kyungchun Lee

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this study, low-complexity sphere decoding (SD) algorithms for generalized spatial modulation (GSM) are proposed. To reduce the computational complexity of the SD algorithm for GSM, layer ordering and transmit antenna combination (TAC) partitioning are employed. The layer ordering scheme determines the detection order of layers based on their reliabilities, which are measured by their minimum mean-square errors (MMSEs). In TAC partitioning, which is combined with the early termination technique, the likely TACs are selected by exploiting an MMSE-based weighting metric to reduce the search space. Simulation results demonstrate that the proposed ordering and partitioning aided SD schemes achieve nearly the same performance as the conventional SD scheme; however, they require significantly low complexity, especially in large GSM multiple-input-multiple-output systems and in the low SNR region.

Original languageEnglish
Article number8419207
Pages (from-to)10087-10091
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number10
DOIs
StatePublished - Oct 2018

Keywords

  • Generalized spatial modulation (GSM)
  • multiple-input-multiple-output (MIMO)
  • sphere decoding

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