Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems

被引：0

作者：

Tian, Shuang ^{[1
]}

Jia, Dai ^{[2
]}

Yuan, Jinhong ^{[1
]}

Cheng, Xingqing ^{[3
]}

Wan, Lei ^{[3
]}

Fei, Zesong ^{[2
]}

机构：

[1] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW, Australia

[2] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China

[3] Huawei Technol Co Ltd, Shenzhen, Peoples R China

来源：

PROCEEDINGS OF THE 2015 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA CHINACOM 2015 | 2015年

关键词：

L2S; ML receiver; MIMO-OFDM; RBIR; MCS;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) technology is expected to provide theoretical capacity approaching performance if link adaptation techniques are employed. In this paper, we propose a new link-level estimation technique for maximum likelihood detector. The new proposed technique is able to decouple the modulation level and coding rate from each other in the modeling process. Both convolutional codes and Turbo codes are considered in this paper, with various coding rates and modulation schemes. It has been demonstrated through simulation that the proposed model provides satisfactory link performance prediction accuracy for various coding rates and modulation schemes.

引用

页码：188 / 193

页数：6

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