Skip to main content

Advertisement

A Novel Quantize-and-Forward Cooperative System: Channel Estimation and M-PSK Detection Performance

Abstract

A method to improve the reliability of data transmission between two terminals without using multiple antennas is cooperative communication, where spatial diversity is introduced by the presence of a relay terminal. The Quantize and Forward (QF) protocol is suitable to implement in resource constraint relays, because of its low complexity. In prior studies of the QF protocol, all channel parameters are assumed to be perfectly known at the destination, while in reality these need to be estimated. This paper proposes a novel quantization scheme, in which the relay compensates for the rotation caused by the source-relay channel, before quantizing the phase of the received M-PSK data symbols. In doing so, channel estimation at the destination is greatly simplified, without significantly increasing the complexity of the relay terminals. Further, the destination applies the expectation maximization (EM) algorithm to improve the estimates of the source-destination and relay-destination channels. The resulting performance is shown to be close to that of a system with known channel parameters.

Publisher note

To access the full article, please see PDF.

Author information

Correspondence to Iancu Avram.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Avram, I., Aerts, N., Duyck, D. et al. A Novel Quantize-and-Forward Cooperative System: Channel Estimation and M-PSK Detection Performance. J Wireless Com Network 2010, 415438 (2010) doi:10.1155/2010/415438

Download citation

Keywords

  • Information System
  • Spatial Diversity
  • Data Transmission
  • System Application
  • Channel Estimation