• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

DMCA

Linear precoding via conic optimization for fixed MIMO receivers (2004)

Cached

  • Download as a PDF

Download Links

  • [webee.technion.ac.il]
  • [webee.technion.ac.il]
  • [webee.technion.ac.il]
  • [webee.technion.ac.il]
  • [webee.technion.ac.il]
  • [webee.technion.ac.il]
  • [tx.technion.ac.il]
  • [www.cs.huji.ac.il]

  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Ami Wiesel , Yonina C. Eldar , Shlomo Shamai (Shitz)
Citations:153 - 3 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Wiesel04linearprecoding,
    author = {Ami Wiesel and Yonina C. Eldar and Shlomo Shamai (Shitz)},
    title = {Linear precoding via conic optimization for fixed MIMO receivers},
    year = {2004}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

We consider the problem of designing linear precoders for fixed multiple input multiple output (MIMO) receivers. Two different design criteria are considered. In the first, we minimize the transmitted power subject to signal to interference plus noise ratio (SINR) constraints. In the second, we maximize the worst case SINR subject to a power constraint. We show that both problems can be solved using standard conic optimization packages. In addition, we develop conditions for the optimal precoder for both of these problems, and propose two simple fixed point iterations to find the solutions which satisfy these conditions. The relation to the well known downlink uplink duality in the context of joint downlink beamforming and power control is also explored. Our precoder design is general, and as a special case it solves the beamforming problem. In contrast to most of the existing precoders, it is not limited to full rank systems. Simulation results in a multiuser system show that the resulting precoders can significantly outperform existing linear precoders.

Keyphrases

conic optimization    fixed mimo receiver    linear precoders    fixed multiple input multiple output    full rank system    joint downlink beamforming    standard conic optimization package    simulation result    power constraint    optimal precoder    multiuser system    case sinr subject    different design criterion    downlink uplink duality    beamforming problem    point iteration    power control    transmitted power subject    special case    precoder design    plus noise ratio   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University