Dirty paper coding with partial channel state information

Itsik Bergel, Daniel Yellin, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper we study the effect of partial channel state information (CSI) on the performance of dirty paper coding (DPC) schemes. We derive a novel lower bound that shows that the effect of the CSI is upper bounded by the effect of an additive white Gaussian noise with an appropriate variance. The bound is proved using a constructive proof that shows that the predicted rates are achievable using high dimensional lattice modulo precoding schemes. Simulation results demonstrate the usefulness of the bound. The derived bound is useful for the characterization of the interference mitigation performance in partial CSI scenarios such as FDD networks with finite rate feedback, uplink downlink capacity balancing in cooperative cellular networks, etc'.

Original languageEnglish
Title of host publication2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-338
Number of pages5
EditionOctober
ISBN (Electronic)9781479949038
DOIs
StatePublished - 31 Oct 2014
Event2014 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014 - Toronto, Canada
Duration: 22 Jun 201425 Jun 2014

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
NumberOctober
Volume2014-October

Conference

Conference2014 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014
Country/TerritoryCanada
CityToronto
Period22/06/1425/06/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Cooperative transmission
  • channel state information
  • dirty paper coding
  • interference mitigation

Fingerprint

Dive into the research topics of 'Dirty paper coding with partial channel state information'. Together they form a unique fingerprint.

Cite this