Research Article
Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems
@INPROCEEDINGS{10.4108/eai.15-8-2015.2260813, author={Shuang Tian and Dai Jia and Jinhong Yuan and Xingqing Cheng and Lei Wan and Zesong Fei}, title={Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems}, proceedings={10th EAI International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={9}, keywords={l2s ml receiver mimo-ofdm rbir mcs}, doi={10.4108/eai.15-8-2015.2260813} }- Shuang Tian
Dai Jia
Jinhong Yuan
Xingqing Cheng
Lei Wan
Zesong Fei
Year: 2015
Link-level Performance Estimation of ML Receiver in MIMO-OFDM Systems
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2260813
Abstract
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.
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