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Pragmatic Physical Layer Abstraction Method Based on Bit-LLR-Wise Exponential Effective SNR Mapping for Bit Interleaved Coded Orthogonal Frequency Division Multiplexing System

Pragmatic Physical Layer Abstraction Method Based on Bit-LLR-Wise Exponential Effective SNR Mapping for Bit Interleaved Coded Orthogonal Frequency Division Multiplexing System

作     者:李孟实 俞晖 罗汉文 徐友云 

作者机构:Institute of Wireless Communication Technology Shanghai Jiaotong University 

出 版 物:《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报(英文版))

年 卷 期:2014年第19卷第2期

页      面:173-180页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 07[理学] 08[工学] 080402[工学-测试计量技术及仪器] 070104[理学-应用数学] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 

基  金:the Shanghai Basic Research KeyProject(No.11DZ1500206) the NationalScience and Technology Major Project of China(No.2012ZX03001013-003) 

主  题:physical layer abstraction parallel bit channel signal-to-noise ratio (SNR) exponential effective SNR mapping (EESM) adaptive modulation and coding (AMC) quantization 

摘      要:In this paper, we analyze the physical layer abstraction for bit interleaved coded orthogonal frequency division multiplexing(BIC-OFDM) system from a parallel bit channel perspective. By combining the exponential effective SNR(signal-to-noise ratio) mapping(EESM) with the maximum a posteriori(MAP) algorithm, a bit LLR(log-likelihood ratio) wise EESM(BL-EESM) method is proposed. This method can abstract the link performance with high accuracy, especially for the case when channel estimation is imperfect. Afterward, the BL-EESM method is simplified by utilizing the non-linear quantization idea, which can reduce the times of exponential operation by two orders of magnitude at wide system bandwidth, yet shows little loss in accuracy. Our proposal can be applied to both system level simulations to save the time consumption and to practical terminals to facilitate the adaptive modulation and coding(AMC) procedure, bringing about throughput improvement at low hardware cost.

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