Open Access

Reduced Complexity Channel Models for IMT-Advanced Evaluation

  • Yu Zhang1Email author,
  • Jianhua Zhang1,
  • Peter J. Smith2,
  • Mansoor Shafi3 and
  • Ping Zhang4
EURASIP Journal on Wireless Communications and Networking20092009:195480

DOI: 10.1155/2009/195480

Received: 31 July 2008

Accepted: 26 February 2009

Published: 7 April 2009


Accuracy and complexity are two crucial aspects of the applicability of a channel model for wideband multiple input multiple output (MIMO) systems. For small number of antenna element pairs, correlation-based models have lower computational complexity while the geometry-based stochastic models (GBSMs) can provide more accurate modeling of real radio propagation. This paper investigates several potential simplifications of the GBSM to reduce the complexity with minimal impact on accuracy. In addition, we develop a set of broadband metrics which enable a thorough investigation of the differences between the GBSMs and the simplified models. The impact of various random variables which are employed by the original GBSM on the system level simulation are also studied. Both simulation results and a measurement campaign show that complexity can be reduced significantly with a negligible loss of accuracy in the proposed metrics. As an example, in the presented scenarios, the computational time can be reduced by up to 57% while keeping the relative deviation of 5% outage capacity within 5%.

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications
Department of Electrical and Computer Engineering, University of Canterbury
Telecom New Zealand
Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications


© Yu Zhang et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.