Precoding via Approximate Message Passing with Instantaneous Signal Constraints

Beitrag bei einer Tagung
(Originalarbeit)


Details zur Publikation

Autor(en): Bereyhi A, Sedaghat MA, Müller R
Verlag: ETH Zurich
Jahr der Veröffentlichung: 2018
Sprache: Englisch


Abstract

This paper proposes a low complexity precoding algorithm based on the
recently proposed Generalized Least Square Error (GLSE) scheme with generic
penalty and support. The algorithm iteratively constructs the transmit vector
via Approximate Message Passing (AMP). Using the asymptotic decoupling property
of GLSE precoders, we derive closed form fixed point equations to tune the
parameters in the proposed algorithm for a general set of instantaneous signal
constraints. The tuning strategy is then utilized to construct transmit vectors
with restricted peak-to-average power ratios and to efficiently select a subset
of transmit antennas. The numerical investigations show that the proposed
algorithm tracks the large-system performance of GLSE precoders even for a
moderate number of antennas.


FAU-Autoren / FAU-Herausgeber

Bereyhi, Ali
Lehrstuhl für Digitale Übertragung
Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung
Sedaghat, Mohammad Ali
Lehrstuhl für Digitale Übertragung


Zitierweisen

APA:
Bereyhi, A., Sedaghat, M.A., & Müller, R. (2018). Precoding via Approximate Message Passing with Instantaneous Signal Constraints. Zurich, CH: ETH Zurich.

MLA:
Bereyhi, Ali, Mohammad Ali Sedaghat, and Ralf Müller. "Precoding via Approximate Message Passing with Instantaneous Signal Constraints." Proceedings of the International Zurich Seminar on Information and Communication (IZS), Zurich ETH Zurich, 2018.

BibTeX: 

Zuletzt aktualisiert 2018-22-09 um 14:23