Meny

Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

Optimal Lattices for MIMO Precoding

Författare:
Publiceringsår: 2011
Språk: Engelska
Sidor: 2924-2928
Publikation/Tidskrift/Serie: 2011 IEEE International Symposium on Information Theory Proceedings (ISIT)
Dokumenttyp: Konferensbidrag
Förlag: IEEE

Sammanfattning

Consider the communication model (y) over bar = H F (x) over bar + (n) over bar, where H; F are real-valued matrices, (x) over bar is a data vector drawn from some real-valued lattice (e.g. M-PAM), (n) over bar is additive white Gaussian noise and (y) over bar is the received vector. It is assumed that the transmitter and the receiver have perfect knowledge of the channel matrix H (perfect CSI) and that the transmitted signal F (x) over bar is subject to an average energy constraint. The columns of the matrix H F can be viewed as basis vectors that span a lattice, and we are interested in the minimum distance of this lattice. More precisely, for a given H, which F under an average energy constraint will maximize the minimum distance of the lattice H F ? This particular question remains open within the theory of lattices. This work provides the solution for 2 x 2 matrices H; F. The answer is an F such that H F is a hexagonal lattice.

Disputation

Nyckelord

  • Technology and Engineering

Övriga

IEEE International Symposium on Information Theory (ISIT)
JUL 31-AUG 05, 2011
St Petersburg, Russia
Published
Yes
  • ISBN: 978-1-4577-0595-3

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen