tailieunhanh - Báo cáo hóa học: " Research Article Reduced Complexity Channel Models for IMT-Advanced Evaluation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Reduced Complexity Channel Models for IMT-Advanced Evaluation | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 195480 13 pages doi 2009 195480 Research Article Reduced Complexity Channel Models for IMT-Advanced Evaluation Yu Zhang 1 Jianhua Zhang 1 Peter J. Smith 2 Mansoor Shafi 3 and Ping Zhang4 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 . Box 92 Beijing 100876 China Correspondence should be addressed to Yu Zhang yii_zhaiig@ Received 31 July 2008 Revised 6 November 2008 Accepted 26 February 2009 Recommended by Claude Oestges 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 .