Reduced Complexity Channel Models for IMT-Advanced Evaluation
1 Wireless Technology Innovation Institute, Beijing University of Posts and Telecommunications, P.O. Box 92, Beijing 100876, China
2 Department of Electrical and Computer Engineering, University of Canterbury, Private Bag 4800, 8140 Christchurch, New Zealand
3 Telecom New Zealand, P.O. Box 293, 6001 Wellington, New Zealand
4 Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, P.O. Box 92, Beijing 100876, China
EURASIP Journal on Wireless Communications and Networking 2009, 2009:195480 doi:10.1155/2009/195480Published: 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%.