Published June 2017 | Version public
Book Section - Chapter

The BOX-LASSO with application to GSSK modulation in massive MIMO systems

  • 1. ROR icon King Abdullah University of Science and Technology
  • 2. ROR icon Massachusetts Institute of Technology
  • 3. ROR icon California Institute of Technology

Abstract

The BOX-LASSO is a variant of the popular LASSO that includes an additional box-constraint. We propose its use as a decoder in modern Multiple Input Multiple Output (MIMO) communication systems with modulation methods such as the Generalized Space Shift Keying (GSSK) modulation, which produces constellation vectors that are inherently sparse and with bounded elements. In that direction, we prove novel explicit asymptotic characterizations of the squared-error and of the per-element error rate of the BOX-LASSO, under iid Gaussian measurements. In particular, the theoretical predictions can be used to quantify the improved performance of the BOX-LASSO, when compared to the previously used standard LASSO. We include simulation results that validate both these premises and our theoretical predictions.

Additional Information

© 2017 IEEE. This publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2016-KKI-2899.

Additional details

Identifiers

Eprint ID
80542
DOI
10.1109/ISIT.2017.8006695
Resolver ID
CaltechAUTHORS:20170816-174203875

Related works

Funding

King Abdullah University of Science and Technology (KAUST)
OSR-2016-KKI-2899

Dates

Created
2017-08-17
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field