Asymptotics of Nonlinear LSE Precoders with Applications to Transmit Antenna Selection

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Bereyhi A, Sedaghat MA, Müller R
Verlag: IEEE
Jahr der Veröffentlichung: 2017
Tagungsband: Proceedings of IEEE International Symposium on Information Theory (ISIT)
ISBN: 978-1-5090-4096-4
Sprache: Englisch


Abstract

This paper studies the large-system performance of Least Square Error (LSE)
precoders which minimize the input-output distortion over an arbitrary support
subject to a general penalty function. The asymptotics are determined via the
replica method in a general form which encloses the Replica Symmetric (RS) and
Replica Symmetry Breaking (RSB) ansätze. As a result, the "marginal
decoupling property" of LSE precoders for b-steps of RSB is derived. The
generality of the studied setup enables us to address special cases in which
the number of active transmit antennas are constrained. Our numerical
investigations depict that the computationally efficient forms of LSE precoders
based on "ℓ1-norm" minimization perform close to the cases with
"zero-norm" penalty function which have a considerable improvements compared to
the random antenna selection. For the case with BPSK signals and restricted
number of active antennas, the results show that RS fails to predict the
performance while the RSB ansatz is consistent with theoretical bounds.


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. (2017). Asymptotics of Nonlinear LSE Precoders with Applications to Transmit Antenna Selection. In Proceedings of IEEE International Symposium on Information Theory (ISIT). Aachen, DE: IEEE.

MLA:
Bereyhi, Ali, Mohammad Ali Sedaghat, and Ralf Müller. "Asymptotics of Nonlinear LSE Precoders with Applications to Transmit Antenna Selection." Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen IEEE, 2017.

BibTeX: 

Zuletzt aktualisiert 2018-22-10 um 13:20