Exponential Effective SINR Computation for LTE Networks - Ben Hcine, Marwane
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The exponential effective SINR is a fundamental tool for evaluating and studying next generation orthogonal frequency division multiplexing (OFDM) based wireless systems such as LTE. It converts the different gains of multiple subchannels, over which a codeword is transmitted, into a single effective flat-fading gain with the same codeword error rate. It enables fast link adaptation by allowing each user to compute a precise channel quality indicator (CQI), which is fed back to the eNodeB for downlink rate adaptation and scheduling. For a given practical case, exponential effective SINR…mehr

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Produktbeschreibung
The exponential effective SINR is a fundamental tool for evaluating and studying next generation orthogonal frequency division multiplexing (OFDM) based wireless systems such as LTE. It converts the different gains of multiple subchannels, over which a codeword is transmitted, into a single effective flat-fading gain with the same codeword error rate. It enables fast link adaptation by allowing each user to compute a precise channel quality indicator (CQI), which is fed back to the eNodeB for downlink rate adaptation and scheduling. For a given practical case, exponential effective SINR prediction relies on the approximation of the sum distribution of correlated lognormal random variables. The present work focuses on two major issues. First, the establishment of a simple and effective approximation method for the sum of dependent lognormal random variables based on log skew normal distribution. Second, the study and the investigation of closed-form expression for the exponential effective SINR spatial distribution in LTE downlink and uplink.
Autorenporträt
Marwane Ben Hcine was graduated in telecommunications engineering at the Tunisian Polytechnic School (TPS) in July 2008. He obtained his Ph.D in Information and Communications Technologies in June 2017 at the Higher School of Communication of Tunisia (Sup¿Com). His current research interests are network dimensioning for LTE and beyond Technologies.