Publication detail

Optimization of the Cut-Off Rate of Generalized Spatial Modulation with Transmit Precoding

STEFAN PEROVIC, N. PENG, L. BLUMENSTEIN, J. DI RENZO, M. SPRINGER, A.

Original Title

Optimization of the Cut-Off Rate of Generalized Spatial Modulation with Transmit Precoding

English Title

Optimization of the Cut-Off Rate of Generalized Spatial Modulation with Transmit Precoding

Type

journal article in Web of Science

Language

en

Original Abstract

Spatial modulation (SM) and generalized spatial modulation (GSM) are emerging multiple input multiple output (MIMO) schemes that use transmitter (TX) antenna switching for data transmission. Their operating principle makes optimization of channel capacity and mutual information usually more difficult than for conventional MIMO schemes which are not based on antenna switching. We propose to use channel cut-off rate as a relevant and more tractable metric for performance optimization of SM/GSM systems, as it constitutes a practical lower-bound of channel capacity. In particular, we propose four TX precoding schemes for increasing the cut-off rate of SM/GSM systems. We show that those TX precoding schemes which are designed for increasing array gain provide the largest improvement of cutoff rate for low signal-to-noise ratio (SNR). Contrarily, the TX precoding schemes that are designed for increasing the minimum Euclidean distance of GSM symbols are more suitable for application to medium to high SNR setup.

English abstract

Spatial modulation (SM) and generalized spatial modulation (GSM) are emerging multiple input multiple output (MIMO) schemes that use transmitter (TX) antenna switching for data transmission. Their operating principle makes optimization of channel capacity and mutual information usually more difficult than for conventional MIMO schemes which are not based on antenna switching. We propose to use channel cut-off rate as a relevant and more tractable metric for performance optimization of SM/GSM systems, as it constitutes a practical lower-bound of channel capacity. In particular, we propose four TX precoding schemes for increasing the cut-off rate of SM/GSM systems. We show that those TX precoding schemes which are designed for increasing array gain provide the largest improvement of cutoff rate for low signal-to-noise ratio (SNR). Contrarily, the TX precoding schemes that are designed for increasing the minimum Euclidean distance of GSM symbols are more suitable for application to medium to high SNR setup.

Keywords

Generalized Spatial Modulation, Transmit Precoding, Cut-Off Rate

Released

07.05.2018

Publisher

IEEE

Pages from

1

Pages to

18

Pages count

18

URL

BibTex


@article{BUT147807,
  author="Nemanja {Stefan Perovic} and Liu {Peng} and Jiří {Blumenstein} and Marco {Di Renzo} and Andreas {Springer}",
  title="Optimization of the Cut-Off Rate of Generalized Spatial Modulation with Transmit Precoding",
  annote="Spatial modulation (SM) and generalized spatial modulation (GSM) are emerging multiple input multiple output (MIMO) schemes that use transmitter (TX) antenna switching for data transmission. Their operating principle makes optimization of channel capacity and mutual information usually more difficult than for conventional MIMO schemes which are not based on antenna switching. We propose to use channel cut-off rate as a relevant and more tractable metric for performance optimization of SM/GSM systems, as it constitutes a practical lower-bound of channel capacity. In particular, we propose four TX precoding schemes for increasing the cut-off rate of SM/GSM systems. We show that those TX precoding schemes which are designed for increasing array gain provide the largest improvement of cutoff rate for low signal-to-noise ratio (SNR). Contrarily, the TX precoding schemes that are designed for increasing the minimum Euclidean distance of GSM symbols are more suitable for application to medium to high SNR setup.",
  address="IEEE",
  chapter="147807",
  doi="10.1109/TCOMM.2018.2833548",
  howpublished="online",
  institution="IEEE",
  number="in Press",
  volume="in Press",
  year="2018",
  month="may",
  pages="1--18",
  publisher="IEEE",
  type="journal article in Web of Science"
}