Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco

Research Article

Estimation of the minimum mean square error channel MMSE And energy efficiency management

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  • @INPROCEEDINGS{10.4108/eai.24-4-2019.2284112,
        author={sara  riahi and azzeddine  riahi},
        title={Estimation of the minimum mean square error channel MMSE And energy efficiency management },
        proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco},
        publisher={EAI},
        proceedings_a={ICCWCS},
        year={2019},
        month={5},
        keywords={channel estimation quadrature amplitude modulation mmse wireless systems energy efficiency},
        doi={10.4108/eai.24-4-2019.2284112}
    }
    
  • sara riahi
    azzeddine riahi
    Year: 2019
    Estimation of the minimum mean square error channel MMSE And energy efficiency management
    ICCWCS
    EAI
    DOI: 10.4108/eai.24-4-2019.2284112
sara riahi,*, azzeddine riahi1
  • 1: Chouaib Doukkali University, Faculty of Sciences
*Contact email: riahisaraphd@gmail.com

Abstract

In order to eliminate distortion due to signal propagation in a transmission channel, a multi-carrier OFDM modulation scheme uses a channel estimation operation. Indeed, an estimate of the frequency response of the transmission channel is often necessary to achieve frequency equalization at the output of the FFT (Fast Fourier Transform). In the literature, most channel estimation techniques have been limited to exploiting the frequency correlation of the channel. Few of them have addressed the interests reflect the temporal correlation. Note that propagation in a mobile radio environment is characterized by frequency selectivity of the transmission channel, but also by mobility of transmitting / receiving equipment translated into time selectivity. This is expressed by a double time-frequency correlation of the frequency response of the transmission channel. In this paper, we propose to design a channel estimation algorithm, half-blind in a mobile-radio propagation environment. The initialization of this algorithm is done through information provided by the pilot OFDM symbols.