Research Article
Detection and Channel Estimation in 8x8 MIMO-OFDM
@INPROCEEDINGS{10.4108/icst.crowncom.2014.255390, author={Essi Suikkanen and Johanna Ketonen and Markku Juntti}, title={Detection and Channel Estimation in 8x8 MIMO-OFDM}, proceedings={9th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2014}, month={7}, keywords={detection channel estimation 8x8 mimo lte adaptive receiver}, doi={10.4108/icst.crowncom.2014.255390} }- Essi Suikkanen
Johanna Ketonen
Markku Juntti
Year: 2014
Detection and Channel Estimation in 8x8 MIMO-OFDM
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2014.255390
Abstract
Higher data rate and lower power consumption requirements set new challenges for implementation of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) receivers. Simple detectors have low complexity and power consumption, but the performance is worse than with more complex detectors. Therefore the detector can be adapted to suit the channel conditions to minimize the power consumption while satisfying the quality of service requirements.
The performances of the linear minimum mean-square error (LMMSE) detector and the K-best list sphere detector (LSD) in a long term evolution (LTE) system are compared. We also investigate least squares (LS) channel estimation performance with different mobile speeds and correlation scenarios. Theoretical complexities of the detectors are also given. In the 4x4 system, high order modulation and bad channel estimate impacts the performance of the K-best detector, resulting it to be outperformed by the LMMSE detector. In the 8x8 case, the K-best LSD outperforms the LMMSE detector, since the channel conditions are more challenging for the LMMSE detector.