@InProceedings{8081611,
  author = {A. Ladaycia and A. Mokraoui and K. Abed-Meraim and A. Belouchrani},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Toward green communications using semi-blind channel estimation},
  year = {2017},
  pages = {2254-2258},
  abstract = {In most Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, channel estimation is required for equalization and symbol detection. It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. A Least Square Decision Feedback (LS-DF) semi-blind channel estimator is then considered showing that a reduction of 76% of the pilot's power is obtained compared to the LS pilot-based estimator for the same channel estimation performance.},
  keywords = {channel estimation;decision feedback equalisers;least squares approximations;MIMO communication;OFDM modulation;quadrature phase shift keying;wireless LAN;symbol detection;semiblind channel estimator;multiple-output orthogonal frequency division multiplexing systems;channel estimation;power resources;equalization;semiblind channel estimation;Channel estimation;OFDM;Signal processing algorithms;Training;Mathematical model;Equalizers;Throughput},
  doi = {10.23919/EUSIPCO.2017.8081611},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342152.pdf},
}

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It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. A Least Square Decision Feedback (LS-DF) semi-blind channel estimator is then considered showing that a reduction of 76% of the pilot's power is obtained compared to the LS pilot-based estimator for the same channel estimation performance.","keywords":"channel estimation;decision feedback equalisers;least squares approximations;MIMO communication;OFDM modulation;quadrature phase shift keying;wireless LAN;symbol detection;semiblind channel estimator;multiple-output orthogonal frequency division multiplexing systems;channel estimation;power resources;equalization;semiblind channel estimation;Channel estimation;OFDM;Signal processing algorithms;Training;Mathematical model;Equalizers;Throughput","doi":"10.23919/EUSIPCO.2017.8081611","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342152.pdf","bibtex":"@InProceedings{8081611,\n author = {A. Ladaycia and A. Mokraoui and K. Abed-Meraim and A. Belouchrani},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Toward green communications using semi-blind channel estimation},\n year = {2017},\n pages = {2254-2258},\n abstract = {In most Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, channel estimation is required for equalization and symbol detection. It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. 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