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Realistic Prediction of BER and AMC with MRC Diversity for Indoor Wireless Transmissions

Meiling Luo 1 Guillaume Villemaud 1, * Jialai Weng 2 Jean-Marie Gorce 1 Jie Zhang 3 
* Corresponding author
1 SOCRATE - Software and Cognitive radio for telecommunications
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Bit Error Rate (BER) is a key parameter used to evaluate the performance of radio communication systems. In this paper, a realistic BER of radio MRC diversity systems is predicted based on the Multi-Resolution Frequency Domain ParFlow (MRFDPF) model. The prediction takes into account the correlations among diversity branches and makes no assumptions of the correlation model. The predicted realistic BER for MRC diversity systems can be very useful to many wireless applications, such as, adaptive modulation and coding (AMC) scheme, or optimal power allocation.
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Submitted on : Thursday, December 19, 2013 - 2:19:00 PM
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Meiling Luo, Guillaume Villemaud, Jialai Weng, Jean-Marie Gorce, Jie Zhang. Realistic Prediction of BER and AMC with MRC Diversity for Indoor Wireless Transmissions. Wireless Communications and Networking Conference (WCNC), 2013 IEEE, Apr 2013, Shanghai, China. ⟨10.1109/WCNC.2013.6555227⟩. ⟨hal-00920929⟩



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